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Paper Citation Record · LEDGER

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2502.04890.

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

pith.paper-citation-record.v1
2502.04890 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:10:23.304210Z

measured 39 of 39 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

39 of 39 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 743ef33f-5c29-4d39-9c6e-7e0330d29e07 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.125410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.125410Z digest=sha256:f4277150822ded62fd87068b1c12983e5771beeef3569dfb766e59e16dbb559e

Observation a68fd5c2-635c-4f59-9d76-47f367c1a451 · outbound

This paper cites write newline.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.130865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.130865Z digest=sha256:5c3c7e4d70c8fe06b168809123118defb0eff0a656f1fd7162e4afebf353b045

Observation 97114717-c50a-4dc5-9599-d7a47bee886a · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.858201Z

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=arxiv_source observed=2026-08-08T21:10:23.136073Z digest=sha256:bb80203bd73e413fad061cd2ad5845dbcc542a88c1e889d8f38e1d4d6bf768e8

Observation bc48267a-f473-4a3f-9cbc-25033c5d7cc9 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.844186Z

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=arxiv_source observed=2026-08-08T21:10:23.141222Z digest=sha256:bf519d5e63042d4d1bc0362b173a25506b2f9fa6700eda5118a7124e2c2ae912

Observation 9d5db1dd-34c3-4161-be33-c244a4e38d30 · outbound

This paper cites Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:10:23.445885Z

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=arxiv_source observed=2026-08-08T21:10:23.145940Z digest=sha256:b811d695058d9be4b6fa30f4f42bf31c7d490726c559435d739bfc23a07b121a

Observation 7d0af5d4-220a-4e03-97b2-dc68852361bc · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.830484Z

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=arxiv_source observed=2026-08-08T21:10:23.150925Z digest=sha256:302b25294ebde8c8650bc549d7c020493c543e0f42a82ea057ce0101c63a34d0

Observation 87045aa7-da7d-4344-972f-e42a60568c27 · outbound

This paper cites M.; Guerraoui, R.; and Stainer, J.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning M.; Guerraoui, R.; and Stainer, J

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:10:23.814832Z

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=arxiv_source observed=2026-08-08T21:10:23.155506Z digest=sha256:e536dd24af6ccd83ea69e7fa8d2d99905dc5b498000d28e91688f50462812be6

Observation 83c36886-52f9-488c-93d2-cd2383d98d49 · outbound

This paper cites M.; Guerraoui, R.; Maurer, A.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning M.; Guerraoui, R.; Maurer, A

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:10:23.798037Z

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=arxiv_source observed=2026-08-08T21:10:23.159906Z digest=sha256:c120e49f5bde70d24f6ddc101616335d2d477c80f073f725043f51bc222b0b05

Observation 3ddb3446-6c30-447a-bdba-0aaf90ad41dc · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning LEAF: A Benchmark for Federated Settings

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.164727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.164727Z digest=sha256:17e1e4c7fc213167b9117a0c34817e971b9fa1a3cb72a25cf40b02434a4e378b

Observation bb95a78d-6003-4079-8aa7-185216294ea4 · outbound

This paper cites M.; Farhadkhani, S.; Guerraoui, R.; Guirguis, A.; Hoang, L.-N.; and Rouault, S.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning M.; Farhadkhani, S.; Guerraoui, R.; Guirguis, A.; Hoang, L.-N.; and Rouault, S

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:10:23.782866Z

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=arxiv_source observed=2026-08-08T21:10:23.169344Z digest=sha256:7a178d991db0a2423558559d36462eaf23214311cd7aeb8577df0d6a54d34077

Observation a711b0f0-211a-44f0-bf50-fab4207e64a4 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.767628Z

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=arxiv_source observed=2026-08-08T21:10:23.174403Z digest=sha256:3c44f035ae48387672d023e1d6fdbd96f23f7c48082b187b5faa672fd3268ac7

Observation e27f2d32-61bd-4380-87e0-c647c71f636a · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.753328Z

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=arxiv_source observed=2026-08-08T21:10:23.181882Z digest=sha256:640ae01b9e67b64e3b318af427b689142c4e8f6bc6ba4ff9572e749c2872e977

Observation df4c8baf-262a-4d73-a04f-5cf59465ba5a · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.738462Z

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=arxiv_source observed=2026-08-08T21:10:23.186841Z digest=sha256:609feb2805ade68675832d3751df0bda4946a316ec83ccc3a9e92d63b5221593

Observation 9d5dd842-87cb-46c9-bf85-186d8a1510ce · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.191260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.191260Z digest=sha256:942d60a253ee7539d85d13fd1bb766c8585b254f1336eac98df7360316e5af8a

Observation 73443219-c4ef-4ea1-9106-5620e160efd3 · outbound

This paper cites P.; He, L.; and Jaggi, M.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning P.; He, L.; and Jaggi, M

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:10:23.715101Z

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=arxiv_source observed=2026-08-08T21:10:23.195548Z digest=sha256:f842021d75fca38aa5103dd506740a1487744b856cf8afdb1ccd0486f6b9305e

Observation 2a84392e-d07f-414b-a616-0d27f6cacb95 · outbound

This paper cites P.; He, L.; and Jaggi, M.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning P.; He, L.; and Jaggi, M

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:10:23.700348Z

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=arxiv_source observed=2026-08-08T21:10:23.200004Z digest=sha256:45c308c8d5562faf4b17c55f4e08892f25c902336a425c1ff2d821475e1cb72b

Observation edb113ca-bd67-4247-b4e9-e53b34559ccc · outbound

This paper cites P.; Kale, S.; Mohri, M.; Reddi, S.; Stich, S.; and Suresh, A.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning P.; Kale, S.; Mohri, M.; Reddi, S.; Stich, S.; and Suresh, A

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:10:23.685862Z

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=arxiv_source observed=2026-08-08T21:10:23.204330Z digest=sha256:e7841c8245bedc12210b9a5abb2ffe175c1cc3435a4c3ee340c75b3c34ace079

Observation 464d8413-a9bd-49b4-908c-c6d8706d1fe3 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.671438Z

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=arxiv_source observed=2026-08-08T21:10:23.208630Z digest=sha256:e673a3df6005a48ca5c81588fb4c2df12ae7b6d09aeebeb2d581503c93852adb

Observation 654cb7a5-eac0-4f04-b785-e46d467bcaf4 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.213486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.213486Z digest=sha256:bf5d7e436e7c73e5ba5973571f36b18c8713cc59f8a0254161824bcf803f3841

Observation 9f1b901b-ea49-4919-a1be-adb74e3e60c6 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.648339Z

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=arxiv_source observed=2026-08-08T21:10:23.217944Z digest=sha256:54cf99ea7fe5801579d3e2b0db9651fdd99c65f4d40adfd5421cd982b07553ef

Observation 8b8d13bf-f0f0-42e7-b914-af0e18f0f4cb · outbound

This paper cites Federated Learning on Non-IID Data Silos: An Experimental Study.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Federated Learning on Non-IID Data Silos: An Experimental Study

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.222453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.222453Z digest=sha256:7efedd4614d47ad060859af6bc2903232a8dcdde3c0ef7a4d3b60f6165bc885b

Observation 888cdc95-1a64-40ea-872f-34fc3e8b1d93 · outbound

This paper cites K.; Zaheer, M.; Sanjabi, M.; Talwalkar, A.; and Smith, V.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning K.; Zaheer, M.; Sanjabi, M.; Talwalkar, A.; and Smith, V

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.226964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.226964Z digest=sha256:02aa4cbfde634450b053f4811cb462ae775dd6f8715bdacf297ed420302fd0f4

Observation 24c81ebb-777b-4d5f-9b6a-e6934abc7783 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.231404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.231404Z digest=sha256:111df94dcb92f9421cf894875f37e8f747fef9d3a3da57856443adeb26464488

Observation dcf17e23-099a-4cda-a9b8-4d56f53c77c3 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.624899Z

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=arxiv_source observed=2026-08-08T21:10:23.235972Z digest=sha256:982c0368ead0b8011cbcdb674fc4bf2f505d0b86affe7ef1bd63938a2ea2bc18

Observation f308baac-c446-43c8-b680-8aba7a63d3da · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.610495Z

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=arxiv_source observed=2026-08-08T21:10:23.240821Z digest=sha256:a0e2a8915d2bb62f57e8f1eb746eaa66a4f207a0b26ad16478471d66fb39b2ce

Observation f47e1ec2-9761-42b5-b5b2-f9276de9dab8 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.245019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.245019Z digest=sha256:ad9311f85cd026730b4a606041bccd6a277869e36158c1952648ff0d8246a7bc

Observation d520c51a-81ec-41aa-9d3d-f14c7a75aa1e · outbound

This paper cites S.; Mccabe, G.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning S.; Mccabe, G

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:10:23.586403Z

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=arxiv_source observed=2026-08-08T21:10:23.249357Z digest=sha256:c4587477c78499ee97fd671c963c02c5a8b453044b4482944da2aeee603f75b0

Observation 8a8cacfa-7dbe-49ad-8b1e-d9a4d9d9d243 · outbound

This paper cites FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:10:23.379777Z

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=arxiv_source observed=2026-08-08T21:10:23.253695Z digest=sha256:dbcb9b0d577fff0b0ac39639fccf03656fba8b53ff8ba96557441a5e625c5efb

Observation 80fe7ec9-5c57-4b45-af37-d2ffcb078654 · outbound

This paper cites Robust Aggregation for Federated Learning.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Robust Aggregation for Federated Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.258314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.258314Z digest=sha256:212eaeea9f56643e20bc44e576bd78452ef8333a9488a397903e15680e794f4b

Observation 790079e1-dec1-4f37-b7fd-629d44119d8c · outbound

This paper cites T.; and Saul, L.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning T.; and Saul, L

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:10:23.571989Z

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=arxiv_source observed=2026-08-08T21:10:23.262872Z digest=sha256:958ca84ee3eea17c02f06a8d489334df2dedccfc2089e9894081d49c67f7739f

Observation 68ab238d-46ae-45ef-abd5-0809495df7b7 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.266901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.266901Z digest=sha256:473f56da4349dfdc0c018c491e19a4f6a534b8a22f94be9e7defd7751512df9a

Observation e0d30448-5785-4ed3-a294-1ce839f033f9 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.547514Z

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=arxiv_source observed=2026-08-08T21:10:23.271146Z digest=sha256:c321aff36313c77d0622384361c8e3f8ef1e15b381dde2d8276075bb02cf0b80

Observation 932360c3-3c83-4f9d-ac44-0ef457e5821b · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.276275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.276275Z digest=sha256:6d3724c6d6d6b08f9e9e307ca7ec3c1f8fae27506ac04d9eba77c8e52dd8e961

Observation 9f502ef3-c5eb-4e50-b474-f728f7af8b51 · outbound

This paper cites E.; Patel, K.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning E.; Patel, K

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:10:23.522752Z

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=arxiv_source observed=2026-08-08T21:10:23.280874Z digest=sha256:4316c92e3252f857b8d0f845b453fb947e37db016bc686def1feea04b75c0e50

Observation 001da8ce-2f37-46f6-98bd-88aadc65be56 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.506438Z

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=arxiv_source observed=2026-08-08T21:10:23.285319Z digest=sha256:fab8eac8df8f7e38de030f3cc739606fb2b5652da1a99657f7fb57ba1c802d7e

Observation dd16966d-cbdb-4c52-abfa-194c3414bf2d · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.492073Z

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=arxiv_source observed=2026-08-08T21:10:23.290515Z digest=sha256:21dae323b9c7465220f8a5f2fa9405c4828263be3be660120894fd6e05dcd265

Observation ec2f43dc-1697-40be-bb08-85559d1139fa · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.475594Z

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=arxiv_source observed=2026-08-08T21:10:23.294887Z digest=sha256:00d8a29fb6c426e260b3384ef78bf1305d728011696c2a4300e40343433d0c7f

Observation 43b62278-1a89-4453-9b6d-c4b6220df9f9 · outbound

This paper cites Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T21:10:23.299468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:10:23.299468Z digest=sha256:fce0799eaa8032ffc11325977ce48704814b2f8b27815efeebd96d1c28b80d9a

Observation d5191c32-94bb-4faa-b7e4-97df2b4d9d68 · outbound

This paper cites an unresolved cited work.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:10:23.460887Z

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=arxiv_source observed=2026-08-08T21:10:23.304210Z digest=sha256:81e2568bc7aba98e56727f0b2d3828645e8fa5ede5d0b582eccb5711c6c12539

Pith citing papers

No inbound Pith citation observations are available.