Pith. sign in

Paper Citation Record · LEDGER

Accelerated Training of Federated Learning via Second-Order Methods

As of 10 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 0 inbound Pith citation observations for arXiv:2505.23588.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.23588 v1

Coverage vector

measured 100 of 106 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:35.436548Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 106 outbound references displayed

  • verified exact2
  • verified fuzzy41
  • unresolved57
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fab7cc0-541f-4cb5-8b81-c38f6b1e11f1 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Accelerated Training of Federated Learning via Second-Order Methods Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.340670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.340670Z digest=sha256:c6bacb1230b742f50a72be065e98748cf7a50ad2d9c80f383c3d1f6981b1106e

Observation 772ec515-b0aa-47d4-b49f-91c7518ab075 · outbound

This paper cites Fedprox: Fedsplit algorithm based federated learning for statistical and system heterogeneity in medical data com- munication,.

Accelerated Training of Federated Learning via Second-Order Methods Fedprox: Fedsplit algorithm based federated learning for statistical and system heterogeneity in medical data com- munication,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.381038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.381038Z digest=sha256:67bf22a29bb848bb5164245ab798d02733f4aeab602915f7dcf46671ec9b20b5

Observation 137447d9-85a6-4c4c-849a-448299e90378 · outbound

This paper cites SCAFFOLD: stochastic controlled averaging for federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods SCAFFOLD: stochastic controlled averaging for federated learning,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.419610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.419610Z digest=sha256:80bc0bce858033db3f2c5c915b8633dd41c79234583a5006cd97170d68141717

Observation c8d13219-cf0e-4ae7-b216-7594f4491c9e · outbound

This paper cites Model-contrastive federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Model-contrastive federated learning,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.483122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.483122Z digest=sha256:1d7696a08a9febc52da50045f8a69cb547c75fda02f4a13614c1c27f6b501f2f

Observation cf66b1b2-f313-467c-b006-99771aa64858 · outbound

This paper cites Federated learning based on dynamic regulariza- tion,.

Accelerated Training of Federated Learning via Second-Order Methods Federated learning based on dynamic regulariza- tion,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.553683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.553683Z digest=sha256:1f34cbfaf9d5f4e2d55926b0137bbdca32a181dcdccd6d3a1870d05262e16f4d

Observation dfdb5fa9-6ba7-41c4-815f-a2ef542d3d10 · outbound

This paper cites Implicit gradient alignment in distributed and federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Implicit gradient alignment in distributed and federated learning,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.628364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.628364Z digest=sha256:90d3e77225cd428647b26dde446c23350f878458918b4226949944cf4b4836d7

Observation 69a7c94a-a817-4632-b7db-c51eb7d48bf7 · outbound

This paper cites Handling data heterogeneity in federated learning with global data distribution.

Accelerated Training of Federated Learning via Second-Order Methods Handling data heterogeneity in federated learning with global data distribution

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.709411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.709411Z digest=sha256:b62c8a13abbddcabeb286cbab2b081093f41f52df256bfc2314f85fc52dbfab2

Observation 6b8927cb-90f4-4b83-a582-3777385fe97c · outbound

This paper cites With a little help from my friend: Server-aided federated learning with partial client participation,.

Accelerated Training of Federated Learning via Second-Order Methods With a little help from my friend: Server-aided federated learning with partial client participation,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.755010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.755010Z digest=sha256:b4a6d95cd0d4bfc9b87c67353eb2f13e909a64e7611b61d6427bbb15f56917d7

Observation ed92cad2-92de-4f6e-872e-6fb942393d0b · outbound

This paper cites Achieving linear speedup with partial worker participation in non-iid federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Achieving linear speedup with partial worker participation in non-iid federated learning,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.847411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.847411Z digest=sha256:09970ffbb256dbb3a8a75df3b35b30b61d25be74ff7433ab687d8ac6ad7b6ca6

Observation b736af08-a385-4deb-b515-cabe3e975273 · outbound

This paper cites Fast federated learning in the presence of arbitrary device unavailability,.

Accelerated Training of Federated Learning via Second-Order Methods Fast federated learning in the presence of arbitrary device unavailability,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:27.923100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:27.923100Z digest=sha256:50aceeabd2baebfa749d9ae47616fc77ebea93e0de3d8f5a50e04a06c4abd2d8

Observation 93b9537c-66e3-415f-9a9e-fc4f0af449bc · outbound

This paper cites Anchor sampling for federated learning with partial client participation,.

Accelerated Training of Federated Learning via Second-Order Methods Anchor sampling for federated learning with partial client participation,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:28.074946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:28.074946Z digest=sha256:b842f61c0e6b862ddb03146bcd08bd39070c61470263403068731c6674bcd1ec

Observation 4f054c2f-c954-4217-b616-72c75ab68794 · outbound

This paper cites Fedvarp: Tackling the variance due to partial client participation in federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Fedvarp: Tackling the variance due to partial client participation in federated learning,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:28.160715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:28.160715Z digest=sha256:bc6ec5ad6e405668f2f3919c43c0dfe3920bffa6bc8df49bbf0189f75d059393

Observation 6ecbdfa4-b7c2-4fee-a572-3e0bf742cc51 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Accelerated Training of Federated Learning via Second-Order Methods Federated learning with differential privacy: Algorithms and performance analysis,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:28.273453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:28.273453Z digest=sha256:6e4b6fba4682334b1777df0dbd280495da2d2b5b95df184d54c48b441d56981c

Observation e3a7a57e-adc9-46ed-8d1c-1543f53ad56d · outbound

This paper cites Ldp-fed: Federated learning with local differential privacy,.

Accelerated Training of Federated Learning via Second-Order Methods Ldp-fed: Federated learning with local differential privacy,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:28.421572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:28.421572Z digest=sha256:2054af24dd4320ed389adefece0e032e9c2cd89c9b3785d0e1e515b2a43aa36a

Observation 3b5cd932-897a-4a6c-9695-4f1510a05874 · outbound

This paper cites Federated learning and differential privacy for medical image analysis,.

Accelerated Training of Federated Learning via Second-Order Methods Federated learning and differential privacy for medical image analysis,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:28.567235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:28.567235Z digest=sha256:b9311499f0b9a31fdfee2c8c0c264996bcd6054b2c8ed71877e5dfb0afc50cdd

Observation 67b4a4c0-f21e-451f-a57c-dd742ecea5f8 · outbound

This paper cites Federated learning with bayesian differ- ential privacy,.

Accelerated Training of Federated Learning via Second-Order Methods Federated learning with bayesian differ- ential privacy,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:28.657071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:28.657071Z digest=sha256:98b645fd9f486c09d3febb7c0f6805fb1360f2009f730f476f09b5b531e48c5b

Observation dcb83a83-bf50-487a-88e6-2b8440bbc484 · outbound

This paper cites Differential privacy meets federated learning under communication constraints,.

Accelerated Training of Federated Learning via Second-Order Methods Differential privacy meets federated learning under communication constraints,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:28.789316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:28.789316Z digest=sha256:41a99f6d9000c3c58531951240a2428081c94aeb6a39b5eab03dcd11784a148c

Observation 6ea51a52-9ef5-4cbe-b224-13cffdf60501 · outbound

This paper cites Attack of the tails: Yes, you really can backdoor federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Attack of the tails: Yes, you really can backdoor federated learning,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:28.894870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:28.894870Z digest=sha256:9d2bacb1f703df0ea4ee9f8aad62f0658144928f8d4f0f73e7ee609c3254c799

Observation 24276563-05f6-4760-8e1f-b4c21f9bb295 · outbound

This paper cites Exploring adversarial attacks in federated learning for medical imaging,.

Accelerated Training of Federated Learning via Second-Order Methods Exploring adversarial attacks in federated learning for medical imaging,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:28.939222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:28.939222Z digest=sha256:34c0bdae57197cf4769cb5a4564173f964002cb5bafe172a01a50c7260731562

Observation 8012f483-5394-4359-bdf3-90601c4e9738 · outbound

This paper cites Analyzing user-level privacy attack against federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Analyzing user-level privacy attack against federated learning,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.001533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:29.001533Z digest=sha256:1635145b1cdb5f5fede1e49cc81b0bf2006378ed4e26341bf2be43686612282a

Observation d656876c-380e-4a75-9b17-1f8a231dcbf6 · outbound

This paper cites Toward federated learning models resistant to adversarial attacks,.

Accelerated Training of Federated Learning via Second-Order Methods Toward federated learning models resistant to adversarial attacks,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.146401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:29.146401Z digest=sha256:22684bf67cda0d7e7cd9f728983965052e08097e2622c4ab536a4504581300b3

Observation a3d9ccb9-bb0e-4654-8160-f3bfa11ab05b · outbound

This paper cites Zero knowledge clustering based adversarial mitigation in heterogeneous federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Zero knowledge clustering based adversarial mitigation in heterogeneous federated learning,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.219104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:29.219104Z digest=sha256:267d84f39e8d25e863b0cc9f702abd45a12671d2567696397d1d083e02319422

Observation 73b4e403-80a3-43f0-94d4-85c4e99e0a59 · outbound

This paper cites Giant: Globally improved approximate newton method for distributed optimization,.

Accelerated Training of Federated Learning via Second-Order Methods Giant: Globally improved approximate newton method for distributed optimization,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.275531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:29.275531Z digest=sha256:9465ae5cf5b47c1a4970456443336ab09bde99c781779e044438549cb9264ce5

Observation d949a60b-85be-4d9a-825e-2fc7d307bdbd · outbound

This paper cites LocalNewton: Reducing Communication Bottleneck for Distributed Learning.

Accelerated Training of Federated Learning via Second-Order Methods LocalNewton: Reducing Communication Bottleneck for Distributed Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.323376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:29.323376Z digest=sha256:b650b6aff63c90673035be4c0ec75f25982f0c8eadddf7502cdaf9a9da9f3c3a

Observation c666d768-aed3-4e7b-aeba-3f756c0e3836 · outbound

This paper cites FedSSO: A Federated Server-Side Second-Order Optimization Algorithm.

Accelerated Training of Federated Learning via Second-Order Methods FedSSO: A Federated Server-Side Second-Order Optimization Algorithm

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:45:36.626072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:29.361992Z digest=sha256:d9376b061a8d1811a87e8b107a28874932d88dba278747635165f83225368e7c

Observation 9c630a9a-1f63-4c3d-8bec-756006c38ea3 · outbound

This paper cites Communication-efficient dis- tributed optimization using an approximate newton-type method,.

Accelerated Training of Federated Learning via Second-Order Methods Communication-efficient dis- tributed optimization using an approximate newton-type method,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.476074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:29.476074Z digest=sha256:770d9485c153331a5292a40ba6696759ef2222b79a028ddeed210b657e8ea6f2

Observation 2028b3aa-9d35-411b-8d4e-aa88626244d2 · outbound

This paper cites Fednl: Making newton-type methods applicable to federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Fednl: Making newton-type methods applicable to federated learning,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.628363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:29.628363Z digest=sha256:de3a2cd85df7b58a89a785f7f627b34219fac55aee0b77c1a332c42373e1e370

Observation 1c5c307e-60fe-4a97-870a-357778292e00 · outbound

This paper cites Nys-fl: A communication efficient federated learning with nystr ¨om approximated global newton direc- tion,.

Accelerated Training of Federated Learning via Second-Order Methods Nys-fl: A communication efficient federated learning with nystr ¨om approximated global newton direc- tion,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.776614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:29.776614Z digest=sha256:401f582084fa64ec8f86ab2c7af5cfcde01b1e707aee1bfb7e2e0f61523d7802

Observation 8fa17e95-0245-4741-871c-b0cea026cc0d · outbound

This paper cites Fonn: Federated optimization with nys-newton,.

Accelerated Training of Federated Learning via Second-Order Methods Fonn: Federated optimization with nys-newton,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.937445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:29.937445Z digest=sha256:22b5d657e26ac0ff6ffbb6a28c3e1fe804ed4eb5e91e0c2f8a72339fc3cf1bac

Observation b97e7c09-9f01-4a53-8a5d-52f76cee3e31 · outbound

This paper cites Over-the-air federated learning via second-order optimization,.

Accelerated Training of Federated Learning via Second-Order Methods Over-the-air federated learning via second-order optimization,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:46.299245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.100830Z digest=sha256:757349f131a565c4acc45987d67a89001c8abf81030b4b028c31bfaa34c70367

Observation e283f66d-0c59-434d-8b8b-20c5e1ae087b · outbound

This paper cites Foplahd: Federated optimization using locally approximated hessian diagonal,.

Accelerated Training of Federated Learning via Second-Order Methods Foplahd: Federated optimization using locally approximated hessian diagonal,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:46.176567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.160723Z digest=sha256:45b149c21053406851db9435b635acdb063ef23508f084cb8e33daa98a9c48ba

Observation d1984c70-7798-407b-b588-3f080e0622c6 · outbound

This paper cites Done: distributed approximate newton-type method for federated edge learning,.

Accelerated Training of Federated Learning via Second-Order Methods Done: distributed approximate newton-type method for federated edge learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:46.024711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.217043Z digest=sha256:385aab96556c5c6442037bfcdd82f7111dd136663d8d8ef1119b4d1a0ded2878

Observation 4a769606-e0a8-47eb-a0cc-773e5825fb85 · outbound

This paper cites Freng: Federated optimization by using regularized natural gradient descent,.

Accelerated Training of Federated Learning via Second-Order Methods Freng: Federated optimization by using regularized natural gradient descent,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:45.856939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.258894Z digest=sha256:6960b9c3abf858078815af9d0208b440eff9de9996ffbf1d5cc4ed10ff4c6a93

Observation fd259a70-5743-484e-abc0-106679c6f6de · outbound

This paper cites Federated learning review: Fundamentals, enabling technologies, and future applications,.

Accelerated Training of Federated Learning via Second-Order Methods Federated learning review: Fundamentals, enabling technologies, and future applications,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:45.622688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.297189Z digest=sha256:d14d2184ec5a1fa41c898c7996901427277692e8c7dc5c45838c70632b5792b2

Observation 2f64f7e0-20da-4e65-866e-d3727efa2b9f · outbound

This paper cites The impact of adversarial attacks on federated learning: A survey,.

Accelerated Training of Federated Learning via Second-Order Methods The impact of adversarial attacks on federated learning: A survey,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:30.336185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:30.336185Z digest=sha256:7945c30babdf04a5e2a3d0e7d24e817544f7cbcd72e331dade5b584f23b87ad9

Observation d4709ccb-69ee-401a-b4a9-179c2ae54448 · outbound

This paper cites A systematic survey for differential privacy techniques in federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods A systematic survey for differential privacy techniques in federated learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:45.379516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.396062Z digest=sha256:05dd9d9f3f87521c23aa6f4e6d5e4bb83ddc69c8429b6590d5a97d88574e05fa

Observation e1590fef-e828-4da9-94b2-af3b2994af8a · outbound

This paper cites Differential privacy federated learning: A comprehensive review.

Accelerated Training of Federated Learning via Second-Order Methods Differential privacy federated learning: A comprehensive review

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:45.113888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.486462Z digest=sha256:3dc5921ffdddf118c7e10027914befcf6845f877733c8cb538f313f36babece6

Observation a2adc8cc-d703-485a-b008-ecf0817d0479 · outbound

This paper cites Differentially private federated learning: A systematic review,.

Accelerated Training of Federated Learning via Second-Order Methods Differentially private federated learning: A systematic review,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:30.544139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:30.544139Z digest=sha256:077d9b899bda2093df8e5cb2c622a0e60b0e033cbe5c9817652b246319afc62c

Observation e94125e3-ab15-4e53-8a2b-47b84b91c681 · outbound

This paper cites A survey of security threats in federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods A survey of security threats in federated learning,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:44.920369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.610354Z digest=sha256:6e68b1244f509faa1a65d8bdfd5d8d9431af3db85402f0c83b6ffd1e72e0431b

Observation f2b31969-e466-4b38-b7ef-43dbdae879d6 · outbound

This paper cites Challenges, applications and design aspects of federated learning: A survey.

Accelerated Training of Federated Learning via Second-Order Methods Challenges, applications and design aspects of federated learning: A survey

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:44.678999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.727848Z digest=sha256:e5af348d36a8b0a09ccc12f28b49b191e73fb1d014ed0b3deacf84302487d3c6

Observation 0af9acf5-60c0-4d2a-907c-f7ebad77893c · outbound

This paper cites Federated learning on non-iid data: A survey,.

Accelerated Training of Federated Learning via Second-Order Methods Federated learning on non-iid data: A survey,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:30.826582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:30.826582Z digest=sha256:129059d532f0d71efb1697700d67b99de4b8ecbbb3a4da41761422b5b98927ef

Observation f4d71504-943f-4add-bf07-00213b667d67 · outbound

This paper cites Federated learning with non-iid data: A survey,.

Accelerated Training of Federated Learning via Second-Order Methods Federated learning with non-iid data: A survey,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:30.900776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:30.900776Z digest=sha256:b1db512ccf095e80772f89fd7b940114df0ea8daf31ad6d186b9bed0a8b1b899

Observation 37d7311a-cb42-4943-b1b1-11bce29f7f36 · outbound

This paper cites A survey of federated learning on non-iid data,.

Accelerated Training of Federated Learning via Second-Order Methods A survey of federated learning on non-iid data,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:44.438290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:30.983094Z digest=sha256:d2dae59babe9f448145ff08f665cd8ed8531bf09b50347fdcb1dbb41e714f1f8

Observation 4485da2b-fa45-426c-aff9-4113a80c4045 · outbound

This paper cites Federated learning for generalization, robustness, fairness: A survey and benchmark,.

Accelerated Training of Federated Learning via Second-Order Methods Federated learning for generalization, robustness, fairness: A survey and benchmark,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:44.170303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:31.127533Z digest=sha256:8f204307f4e8115bcbbc03a345d029af7c5ac71be7752fabd98840fcd61256ee

Observation f390a9f7-a62a-42eb-90bb-6bd65a25c935 · outbound

This paper cites Federated Learning with Non-IID Data.

Accelerated Training of Federated Learning via Second-Order Methods Federated Learning with Non-IID Data

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:31.209096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:31.209096Z digest=sha256:29e5784ab386eca3049cb5d337595bc1d3d44b3ba6cd2002bea32e16ee834401

Observation 1cd69a4c-9d9f-4ab7-a2a9-5ee97420f57b · outbound

This paper cites On Second-order Optimization Methods for Federated Learning.

Accelerated Training of Federated Learning via Second-Order Methods On Second-order Optimization Methods for Federated Learning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:31.278385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:31.278385Z digest=sha256:c386757977c574295bef317ab41b5d64ef3b5bc030f9e72d3f78f522d912b913

Observation a3c77e43-a95e-4227-8673-48cdcb2086cf · outbound

This paper cites Review of second-order optimization techniques in artificial neural networks backpropagation,.

Accelerated Training of Federated Learning via Second-Order Methods Review of second-order optimization techniques in artificial neural networks backpropagation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:43.961640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:31.361843Z digest=sha256:f3e342abcbdf14026feaa2da86ec9f7ae29265ee238adfec57113bea27373156

Observation 3ea2d6ac-073c-4a98-a338-fb4af51b388d · outbound

This paper cites A survey of deep learning optimizers -- first and second order methods.

Accelerated Training of Federated Learning via Second-Order Methods A survey of deep learning optimizers -- first and second order methods

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:31.457655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:31.457655Z digest=sha256:171d09e46c6dd1642b02af79fefc4069cb695d45668c8c3b94fcff00089ef92b

Observation d2e9496a-096e-459b-a9f0-8dec0165a91a · outbound

This paper cites A state-of-the-art survey on solving non-iid data in federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods A state-of-the-art survey on solving non-iid data in federated learning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:43.682224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:31.545468Z digest=sha256:d533e4c318b374ac8da9051a3a9a271f942d458ba10c58da8bcadc428169350a

Observation 12ca4a03-1487-483f-b729-29983af033ab · outbound

This paper cites Stochastic gradient descent,.

Accelerated Training of Federated Learning via Second-Order Methods Stochastic gradient descent,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:43.428451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:31.620157Z digest=sha256:3f5fcca1f3d99634746cfa1eb3ba95be374d3554266e1cb3481f0cde6d4c9eb1

Observation 7a627409-e68a-4db0-825b-ab0e5381f186 · outbound

This paper cites Nys-Newton: Nystr\"om-Approximated Curvature for Stochastic Optimization.

Accelerated Training of Federated Learning via Second-Order Methods Nys-Newton: Nystr\"om-Approximated Curvature for Stochastic Optimization

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:31.716191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:31.716191Z digest=sha256:8650a57c9ca1e5c0095d702fcadfad57c8266056cc0f11e570d2e933695373d4

Observation 734069cc-652b-49d4-8c61-864ed35a7880 · outbound

This paper cites Second-order stochastic optimization for machine learning in linear time,.

Accelerated Training of Federated Learning via Second-Order Methods Second-order stochastic optimization for machine learning in linear time,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:43.197752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:31.791426Z digest=sha256:be9337ceab8b3c50d98396f0403dad56c5dc2f39132be8425d7339771cf7a030

Observation 2371cf0d-9d81-4e81-a4c6-85836820e127 · outbound

This paper cites Distributed estimation of the inverse hessian by determinantal averaging,.

Accelerated Training of Federated Learning via Second-Order Methods Distributed estimation of the inverse hessian by determinantal averaging,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:31.895514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:31.895514Z digest=sha256:89c29fdb7714850b416c3e9fc3066e54fd28f23ba522e9ac55a6c2156b045839

Observation 4cae4526-c918-4e24-bb50-6b15feb0bf67 · outbound

This paper cites Deep learning via hessian-free optimization.

Accelerated Training of Federated Learning via Second-Order Methods Deep learning via hessian-free optimization

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:42.973091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:31.984600Z digest=sha256:35346400d353f5d40340eacd5f8f85f669b8801871ee3600c5ed12b204189b03

Observation aa9fd46d-6c13-46ac-a938-e8289561c5c6 · outbound

This paper cites Hessian-free optimization for learning deep multidimensional recurrent neural networks,.

Accelerated Training of Federated Learning via Second-Order Methods Hessian-free optimization for learning deep multidimensional recurrent neural networks,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:42.699217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:32.149953Z digest=sha256:4041dd44853fdb94db5e2693c7db13497044e693f50631dd2f8e05f963d149f5

Observation 825bbb58-c483-4b3b-be27-04103fdb5e88 · outbound

This paper cites Communication-efficient dis- tributed optimization using an approximate newton-type method,.

Accelerated Training of Federated Learning via Second-Order Methods Communication-efficient dis- tributed optimization using an approximate newton-type method,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:32.250343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:32.250343Z digest=sha256:3c650471241fbbf7a518d77f81c8ef4c2a2afce5d333ce6da2ae36d68c5f4cac

Observation ef089ef0-00df-4854-9a3e-a092bd2d8f9c · outbound

This paper cites Disco: Distributed optimization for self- concordant empirical loss,.

Accelerated Training of Federated Learning via Second-Order Methods Disco: Distributed optimization for self- concordant empirical loss,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:42.429305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:32.329800Z digest=sha256:4fa05d5571116b46d8d01cf3b53210c7af9d353a5fc1e919126c1ed4d0c40da9

Observation 7abcc974-bf83-4b32-8e63-fdae170055b2 · outbound

This paper cites AIDE: Fast and Communication Efficient Distributed Optimization.

Accelerated Training of Federated Learning via Second-Order Methods AIDE: Fast and Communication Efficient Distributed Optimization

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:32.433055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:32.433055Z digest=sha256:46287a0a577bb17aabd0f3e8bd6362989e81e6e5b883ce0ffb32d6c82dda975f

Observation 9f35c250-ba4b-4a6b-9050-5bb131f8ac38 · outbound

This paper cites Stochastic dual coordinate ascent methods for regularized loss,.

Accelerated Training of Federated Learning via Second-Order Methods Stochastic dual coordinate ascent methods for regularized loss,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:41.965343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:32.650499Z digest=sha256:97a92bfb8eff6d65ab30cc9c4aa0286beb3a5338cc414a3a5c78cf3c1af5c91e

Observation 735e093d-538c-4987-9b40-93235dcbae0c · outbound

This paper cites Gradient-based learning applied to document recognition,.

Accelerated Training of Federated Learning via Second-Order Methods Gradient-based learning applied to document recognition,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:32.762039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:32.762039Z digest=sha256:137839fdd673aca31be83a6ed8a7acc06aa00306c9598ded5caf21830fa11b2b

Observation fa3e3d38-7747-4658-962a-0536b8a3502d · outbound

This paper cites Parallelized stochastic gradient descent,.

Accelerated Training of Federated Learning via Second-Order Methods Parallelized stochastic gradient descent,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:41.721796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:32.826722Z digest=sha256:8d2dbee91d1fbac0ce22db9accbd1588ec08ba2cbd3a9b2a5a2127f898ab2168

Observation 51b87bb1-5678-48b7-ad99-e87aa655dcb7 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Accelerated Training of Federated Learning via Second-Order Methods Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:32.876244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:32.876244Z digest=sha256:98d1d0f462b56ab375087496f79255fbb9141cf54744e0915f905eea1c413b1d

Observation 27ef09fc-5b00-4fa2-96a1-f8c7abb7ff78 · outbound

This paper cites Quartz: Randomized dual coordi- nate ascent with arbitrary sampling,.

Accelerated Training of Federated Learning via Second-Order Methods Quartz: Randomized dual coordi- nate ascent with arbitrary sampling,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:41.509016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:32.959039Z digest=sha256:f2163c069c69d4464f64fb3199da102b5a70935b675fd945d01e109df3db07d8

Observation 129a8fe0-4d54-46af-af43-e3e302f1faff · outbound

This paper cites A universal catalyst for first-order optimization,.

Accelerated Training of Federated Learning via Second-Order Methods A universal catalyst for first-order optimization,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:41.248420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:33.000486Z digest=sha256:a72ff9898cfbb1204969189223e36ad50c5328f6d7076ff8ea335ac8e661680a

Observation 469006d8-52e8-45b1-815d-59c48d0396a4 · outbound

This paper cites Libsvm: a library for support vector machines,.

Accelerated Training of Federated Learning via Second-Order Methods Libsvm: a library for support vector machines,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:33.055909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:33.055909Z digest=sha256:c96d2ad1991cec2b1b2d0fbfc7b1816b5dd399b5078a204222dff81c34fb94cd

Observation bb82be58-c482-4694-9d1d-ab4852684c8c · outbound

This paper cites Distributed optimization with arbitrary local solvers: Co- coa+ and beyond,.

Accelerated Training of Federated Learning via Second-Order Methods Distributed optimization with arbitrary local solvers: Co- coa+ and beyond,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:41.013864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:33.114279Z digest=sha256:7f695d2ce7fddd22e7f3b2db889be2a8c09bbfebff8a8a722f83f26eec7ab9de

Observation 1ef97720-65ed-4097-b68a-4acfc473b56f · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Accelerated Training of Federated Learning via Second-Order Methods LEAF: A Benchmark for Federated Settings

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:33.167489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:33.167489Z digest=sha256:41e65cc5e8709b7fc7d23372c831d984402ef7a025fff867639958d9588e38bb

Observation 8d18858a-0e3b-4fe2-9faa-772481bc15d5 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Accelerated Training of Federated Learning via Second-Order Methods Federated optimization in heterogeneous networks,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:33.203083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:33.203083Z digest=sha256:618fb0c637f30a0dae36b9495bb1ac8f27e01645b3451973d1d6da573429401e

Observation 69ebaad9-1f65-4960-966d-caca1eb1f777 · outbound

This paper cites an unresolved cited work.

Accelerated Training of Federated Learning via Second-Order Methods Unresolved cited work

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:33.301663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:33.301663Z digest=sha256:eef6bb38836130620f999fb8bb01c8f80ce3c33682bc929d85b2b588473c7c3c

Observation c51b3be7-f461-4dae-8059-dc6af0b73b1b · outbound

This paper cites Nesterov, Introductory lectures on convex optimization: A basic course.

Accelerated Training of Federated Learning via Second-Order Methods Nesterov, Introductory lectures on convex optimization: A basic course

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:33.369256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:33.369256Z digest=sha256:0a1e90136854f2cb159813575f54df0ac6e28755d22769680c843712cea7bfde

Observation b29a5435-78b2-4597-bf01-6e9ef20a295d · outbound

This paper cites On the limited memory bfgs method for large scale optimization,.

Accelerated Training of Federated Learning via Second-Order Methods On the limited memory bfgs method for large scale optimization,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:33.439585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:33.439585Z digest=sha256:4695b1973e65c5febc1a5e67d978704672b988ff37d2854d599951cc0a356a01

Observation 417aede5-1a2e-48e4-a71a-43e3a7d1070d · outbound

This paper cites Conjugate gradient method,.

Accelerated Training of Federated Learning via Second-Order Methods Conjugate gradient method,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:33.517810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:33.517810Z digest=sha256:13826dc52d34629291742c40e363198f305cfb3dbb4df8ba39009e4542b07d56

Observation 262efced-12e0-49fe-a01b-343f63f26c3f · outbound

This paper cites Classical iterative methods for linear systems,.

Accelerated Training of Federated Learning via Second-Order Methods Classical iterative methods for linear systems,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:40.771266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:33.551343Z digest=sha256:6b58e62a73e058b04651254dfabce98fe820b15c60c44a00e7538950f70ce227

Observation 36a06d16-c706-4fa8-8915-7a84552b90df · outbound

This paper cites Emnist: Extending mnist to handwritten letters,.

Accelerated Training of Federated Learning via Second-Order Methods Emnist: Extending mnist to handwritten letters,

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:33.610836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:33.610836Z digest=sha256:82cf36e815b496d8f1f93570dca1862da6f02c467a688a4f812f0edcac3ec90d

Observation b794997c-d412-4ad7-9c9c-f4571591beda · outbound

This paper cites A public domain dataset for human activity recognition using smart- phones.

Accelerated Training of Federated Learning via Second-Order Methods A public domain dataset for human activity recognition using smart- phones

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:40.543834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:33.674742Z digest=sha256:8ce96422b98287c2204b190932745ae7acbe3614cb2288f87f0197dab87864f3

Observation 84a12788-1362-4ae5-938a-bf3ee4eb84e8 · outbound

This paper cites Basis matters: Better communication-efficient second order methods for federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Basis matters: Better communication-efficient second order methods for federated learning,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:40.299164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:33.712300Z digest=sha256:d2bd1e72e73215770207fffee7ff2994336f3a0b8d7da37b5360aabff7a77a4c

Observation 1c9ac396-c4d2-4a34-bd69-cae1c2c74083 · outbound

This paper cites Fednew: A communication-efficient and privacy-preserving newton-type method for federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Fednew: A communication-efficient and privacy-preserving newton-type method for federated learning,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:40.091920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:33.773512Z digest=sha256:caee1eb4927ee5d54a9a70199ff70bb6758f8866af060ccfc529d159ef27714f

Observation 0c00a818-de6a-4cc7-bcec-dfaf70c6178e · outbound

This paper cites Shed: A newton- type algorithm for federated learning based on incremental hessian eigenvector sharing,.

Accelerated Training of Federated Learning via Second-Order Methods Shed: A newton- type algorithm for federated learning based on incremental hessian eigenvector sharing,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:39.839316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:33.846972Z digest=sha256:d654ca7d953e27bed5b545fbab217fe50bfa9272f1ca3000ebccacfdc7f10cd4

Observation 41f71537-ffc3-4575-9e10-03efdfebccab · outbound

This paper cites Fedns: A fast sketching newton- type algorithm for federated learning,.

Accelerated Training of Federated Learning via Second-Order Methods Fedns: A fast sketching newton- type algorithm for federated learning,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:39.657153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:33.921804Z digest=sha256:4d7d4425c6121b52a7189f0e73d28db5ab9f53b67b9239d5373010da25780793

Observation 43e01e03-a6bc-4886-b34d-5d6f0740fb0e · outbound

This paper cites Distributed second order meth- ods with fast rates and compressed communication,.

Accelerated Training of Federated Learning via Second-Order Methods Distributed second order meth- ods with fast rates and compressed communication,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:39.512491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:33.990127Z digest=sha256:ea6eacd4c9184c00efb46cce8153b2d7e8eebdb449a1655aec5786e1fc5d9207

Observation b89b3554-9151-4b02-a2de-fe46311b352e · outbound

This paper cites Distributed learning with compressed gradient differences,.

Accelerated Training of Federated Learning via Second-Order Methods Distributed learning with compressed gradient differences,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:39.370888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:34.032026Z digest=sha256:3e139f91112fb7091a88fc12a8c07a8c14fac35d97eaa2df1ebf6544b21caa5b

Observation 89058f18-f7fb-4377-beb1-e3b909821eaa · outbound

This paper cites Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization.

Accelerated Training of Federated Learning via Second-Order Methods Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:34.096395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:34.096395Z digest=sha256:ab8b3aa78f9ba1ea7d5e470a00afd46df680f05f6e280a96731ec30b19575a71

Observation 4cf7675d-c7e0-43a9-9af2-346e20ec8e5e · outbound

This paper cites Local sgd: Unified theory and new efficient methods,.

Accelerated Training of Federated Learning via Second-Order Methods Local sgd: Unified theory and new efficient methods,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:39.175730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:34.167230Z digest=sha256:62e4c09a5895d0f150ae844dfd54ddebc05509433bbf89cb4ca0fb5cbfa3c0c8

Observation 70c52783-d691-40f6-96c0-5409e7d639d6 · outbound

This paper cites Dingo: Distributed newton-type method for gradient-norm optimization,.

Accelerated Training of Federated Learning via Second-Order Methods Dingo: Distributed newton-type method for gradient-norm optimization,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:38.997858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:34.195292Z digest=sha256:18b4408462f3550057eab81e82f897db26301ebad0570f1fcabe66f8f90eabb3

Observation 1b436ac3-24e3-480b-b0ee-190a6f531777 · outbound

This paper cites Stephen j,.

Accelerated Training of Federated Learning via Second-Order Methods Stephen j,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:38.834809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:34.255524Z digest=sha256:d5924ab4187bc0335592f591f867dfc684dce4f80e5c9d9673f9d9e19e736c40

Observation f853cdc8-1234-4659-9073-1121517d2cab · outbound

This paper cites Distributed Quasi-Newton Method for Fair and Fast Federated Learning.

Accelerated Training of Federated Learning via Second-Order Methods Distributed Quasi-Newton Method for Fair and Fast Federated Learning

Reference 87

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:45:36.133511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:34.307124Z digest=sha256:e3a3243e712fd89fe65625c964078217a3c95c8330d9f3ae2fef7e599946e3df

Observation 3f2c0269-b24a-4772-a164-dc418fc9c702 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Accelerated Training of Federated Learning via Second-Order Methods Learning multiple layers of features from tiny images,

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:34.354154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:34.354154Z digest=sha256:41b6af019fe071c728ad54fc1feaf6507362b11e702a4f536318c09b8fbaac3b

Observation 2e9d8ae5-9d2f-4329-9210-9e1bde5e309c · outbound

This paper cites Federated accelerated stochastic gradient descent,.

Accelerated Training of Federated Learning via Second-Order Methods Federated accelerated stochastic gradient descent,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:38.461724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:34.444648Z digest=sha256:c999c5f784321b571fcc5fba96ca072f5b3f2ff5ca7deb626621dc7fd59ac72f

Observation 837ad19f-3b89-4d20-bbd9-6e8fa8bd9669 · outbound

This paper cites Adaptive Federated Optimization.

Accelerated Training of Federated Learning via Second-Order Methods Adaptive Federated Optimization

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:34.551914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:34.551914Z digest=sha256:54d614c7c337b89d9397be9f1c2a31ecc49d0e8867fb77cb32ce4c2233677975

Observation 637e7a52-e486-4ebc-b75d-df62b2de42ab · outbound

This paper cites Feddane: A federated newton-type method,.

Accelerated Training of Federated Learning via Second-Order Methods Feddane: A federated newton-type method,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:42.178754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:34.605321Z digest=sha256:cc0bbf62659f2d643ae6a366d92bb534c1d536f4183690aa37319c57b9d7eded

Observation aa8c6a64-54d2-4fc8-9661-059ea1fb13a3 · outbound

This paper cites Algorithms for multicriterion optimization,.

Accelerated Training of Federated Learning via Second-Order Methods Algorithms for multicriterion optimization,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:38.301472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:34.683605Z digest=sha256:0c1f60de96801557fe8efa14947a3389fcd13a5557f4ab46d076081f4a843fe8

Observation e5336fbd-84b5-4db8-9c3e-50d0aa64f3de · outbound

This paper cites Tiny imagenet visual recognition challenge,.

Accelerated Training of Federated Learning via Second-Order Methods Tiny imagenet visual recognition challenge,

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:34.739280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:34.739280Z digest=sha256:829d63980e9e7cf76f133336d87552ca67be37e223663d41a29a409634628167

Observation 042027fe-c359-492d-99cd-154f2eeba8b0 · outbound

This paper cites CINIC-10 is not ImageNet or CIFAR-10.

Accelerated Training of Federated Learning via Second-Order Methods CINIC-10 is not ImageNet or CIFAR-10

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:34.806195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:34.806195Z digest=sha256:1601686869e7f2c558374f20224cb2351f6f541ac145d589a9fc33cddc306122

Observation 8e889ea8-c40a-4316-ad23-d16f1202447f · outbound

This paper cites Federated Learning with Fair Averaging.

Accelerated Training of Federated Learning via Second-Order Methods Federated Learning with Fair Averaging

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:34.890436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:34.890436Z digest=sha256:5a2a1c2a545d0ea02cb15fc84f86b095523e5c5fd348fe2eb6a14a8cebb22800

Observation 3eedfa64-3e34-48d6-94b1-64156f2b7833 · outbound

This paper cites Federated Learning with Matched Averaging.

Accelerated Training of Federated Learning via Second-Order Methods Federated Learning with Matched Averaging

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:34.984741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:34.984741Z digest=sha256:c57d104afd5493fc611d09a46ee800bddf2f2ac4018a47ab9dcf138a644e42da

Observation ffecdc73-a257-433a-ade0-b75792c8120a · outbound

This paper cites Deep residual learning for image recognition,.

Accelerated Training of Federated Learning via Second-Order Methods Deep residual learning for image recognition,

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:35.083460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:35.083460Z digest=sha256:0952c1b641df83de9545c645e40e988b0a149fb4ba3819060a55217be82a4469

Observation d9c58ee7-54f0-4b06-812c-27dfe75db371 · outbound

This paper cites Federated optimization with linear-time approximated hessian diagonal,.

Accelerated Training of Federated Learning via Second-Order Methods Federated optimization with linear-time approximated hessian diagonal,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:38.171151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:35.178697Z digest=sha256:e762ffdb72b3651539ad6ec13dcedbab0ad03b19ab19ec1b8b9715e6934e647d

Observation 35a49397-52e5-43e9-8f42-8d0ef2e6e81e · outbound

This paper cites Robust federated learning under statistical heterogeneity via hessian-weighted aggregation,.

Accelerated Training of Federated Learning via Second-Order Methods Robust federated learning under statistical heterogeneity via hessian-weighted aggregation,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:38.004326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:35.249638Z digest=sha256:edde036c0c3a3da2a167866ec068dd9aae1f3288b441446627b9786c3f5ddd0e

Observation c3bdacc9-a17a-406a-b1b5-cbcc14cb7195 · outbound

This paper cites Fed-sophia: A communication-efficient second-order federated learning algorithm,.

Accelerated Training of Federated Learning via Second-Order Methods Fed-sophia: A communication-efficient second-order federated learning algorithm,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:37.813887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:35.351380Z digest=sha256:9be9d93ebc20475bb1b11c7372e5692e08123b0eb2c1bba4eb7536770b9bf412

Observation f62ba3dd-bb8a-465b-95d3-b71fade0f26a · outbound

This paper cites An estimator for the diagonal of a matrix,.

Accelerated Training of Federated Learning via Second-Order Methods An estimator for the diagonal of a matrix,

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:37.601155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:45:35.436548Z digest=sha256:f9ac36afb17ca0f059a602e9057e656ff44442302a176e6935f03898252705c5

Pith citing papers

No inbound Pith citation observations are available.