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Paper Citation Record · LEDGER

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning

As of 9 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 2026-08-09T06:31:02.800959+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:ec14ec1efe6b7d75046f8ca807290fe687ae2a67fd387793f082da1d1ec85a24

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=sha256:82b46202d343dfe6dd2eac1abc0c272c102705913c9b61be125cab88e22395cc

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.136073Z digest=sha256:c269bbb98e26dbc35718acf60b59bc9f3ed3f6bba42f2782135912b4a6afd211

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.141222Z digest=sha256:aaaf979db8654324ef85f35003916b491200467473adcae6c206e8b35ef45d28

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.145940Z digest=sha256:38072d3db72b4ce879987b9c4bb3e89fe85af3feb2985511c691d15baccd6049

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.150925Z digest=sha256:146cc0d2d204ca6d9fe8cfdc3575abd5657a5b4ed228c3eceb1f0fa8f9417696

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.155506Z digest=sha256:26fb143f82ea1a28ed6fe73ec62368b17bd7691b99d103aae2280ac6ab6d694f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.159906Z digest=sha256:d5fd2150b2057bd5215b2f3e4bdfd45fef51be572fd6735a10981c373cedb1b5

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:edb7b0371353a382e04892abf60a7b82b42657fc72d5100b55e40ad12cd20473

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.169344Z digest=sha256:8d3ef1cf26750f435ab05d7d873afe638e74f9641a6bed09775f3854b07b0b5c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.174403Z digest=sha256:a2ab33b077af5a2db9b9a45c795ee475e5717564c8096f59de70b8446eb21eb4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.181882Z digest=sha256:1a29917edc29de99d525334971c3da893b33004705d61da31749bd23e4e7d5cf

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.186841Z digest=sha256:440c342bb1de139423aa3ca071af648266b636502e6226c0518e1bd4b1a51402

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=sha256:2419ece80bf0c43ecdf498fa05e60e529fd0772bcfd11dc3b7161cd2a135a81f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.195548Z digest=sha256:a3e339fb1e71e92f913a0d71c650b28e93831dbc51a976bee10e4e86bdc28564

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.200004Z digest=sha256:7ac3e759fadfd5bb34c436d450fcc1163685c05d7b673606517ae4826b96f1fd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.204330Z digest=sha256:6f8116012098903b13df27281d4870e12b4ec92e220f6706d95275dac9b6c37f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.208630Z digest=sha256:42ad15ecd56148c0c0f9f21279f6b4a372609821ca8e254bcbde3480a8f92a9f

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:c0dd4ed4a277191806e04fc26084da841bc110bf316d418cf8948c5860acee9f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.217944Z digest=sha256:6fd480daa06d88d6cd3b1f9091a4f6c8948eab6cb020d3d1dcefc631855d4d3e

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=sha256:8e1fc7bc4678240726cccaca01823a611ea778d0278197d69b7ba761957d50c6

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:b4783d3fae8a410eaed7c1eb700854d052d78b824216ab68690472c949bdf0c7

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=sha256:00a915cd814d481014b2b4bf04e95129f1ebe429f9658090a69b8dea1043b28b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.235972Z digest=sha256:83f2a5e0877958ac0c1460dd86551ab45794a98ba34c982dac2be930b1c2cffc

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.240821Z digest=sha256:e71d6145500ee9b6fcb13815d24670732e66c4057f600337e6645054253b5e3e

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:be2f1dc4b169b144c125aec14a71923075dfb78f9d99100d6fdbcbdd411a747c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.249357Z digest=sha256:825ec0ed29fe89ea4e8353533369cdd684cfcd7075edc1560c7fe09756941cce

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.253695Z digest=sha256:23629768ac7e5388cd472c4959b33c84140a851815c884dcd0194e0dd00fcb48

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=sha256:0fd375f455668f618b8052a9778d77d2c94fd9b0acbf41f92ac8efe435cb49ff

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.262872Z digest=sha256:1388cbcca7d80892c73fbc310fa208fc146f1e7e34c3ab16e34f846eeab1c68e

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=sha256:3341b70db5843c8287f64dc9330053161dd6b5252ae5d54aebad56e3251580c6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.271146Z digest=sha256:65a935234c0137a56ce6f3ec84d93a1350a586f06eb25bcfd2f745a3f5084242

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=sha256:65014bc0865c3cee4cc98622e147b5e7846432ae3dbd0c0e7dfca7ef8da6bded

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.280874Z digest=sha256:72f60c59152b630b604713c94936ec89fd6fe26d5dc6cb9145399781d542ff17

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.285319Z digest=sha256:9b79eabe356343f80897391f5e91d3da8b2fce54baff64c050b50bc687922fa6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.290515Z digest=sha256:b60f40797fafb909514193023e6c159d9fb86f68530bfb50341fe39370050872

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.294887Z digest=sha256:eab4c7d3ed805dac4b5768214035ade70239eaaa779f4cc43fe98abe4ebd4ad4

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=sha256:6f0454bf413cdac694c4719b15425b16e23359609e36d32111ad4388462bb35a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:10:23.304210Z digest=sha256:b7f0e2ec32d1709ee0fe9bad262fa8caf2b8bf076c10a23ce2bf66c262d7f510

Pith citing papers

No inbound Pith citation observations are available.