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

source=arxiv_source observed=2026-08-08T21:10:23.136073Z digest=sha256:f44b7510a1da34dc57690d4e509c45112732a2d6e2d03ed14f6c2b393ba87fb9

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:c1f09c13d6f7b501492272cccc3c76f9f36a8fb1d8f0b19663a46edeaac2edd5

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=sha256:48363c964767ac947faf98fda6d0155ee9c750311c13d16eaa737ffacfeb2e78

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=sha256:2e3ef4557589a7b7cb033d93e85499febaea11a21c9c7e603071014dda1aacb1

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:b8bfe83c8e3fe4df12d601c5214bc7e762bd0da3f4a4a37d843e5a714f95ee80

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=sha256:4f2eb35dbd8e63efc177e36a3175925aed39e53bf44b1707978042640e054575

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

source=arxiv_source observed=2026-08-08T21:10:23.169344Z digest=sha256:2915247f9a4179cbfef36a7c048fa21211fa5d61149ddb515411ab9646558484

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:b9a3651221bf91a72a22d4bfb5fd7fcb33911c32530bd2124c00689b637205b8

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=sha256:29a7103044d685edf1460bd909e1bcc1627873232fa19b3351dacba043ab2a5d

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=sha256:525cd9e19f130a46c871307901c579194d8e1c7e2d21671b4a0e9e49e5ca894a

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

source=arxiv_source observed=2026-08-08T21:10:23.195548Z digest=sha256:9c700cf9e2a577b6f525b4fd1e72cb6b4a8727379d804d42bddcb4c5493333e0

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=sha256:52d3460b263a19ae97cf042e8aa0d8dfbe916b1c5bf1dd5470fd813d4ea05d00

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:e661111718067f3b75f6456f74b7ebd553c6c35a754b60970a7f5635b0f2c74a

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=sha256:7ef46379af482a67dde82f0ea998772968730460fec88dfd242efbeda8c31be9

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

source=arxiv_source observed=2026-08-08T21:10:23.217944Z digest=sha256:7167a6c6625427b3b52d7e998ecb3d1dfeec0b23f4b7fac88631299f451fff21

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

source=arxiv_source observed=2026-08-08T21:10:23.235972Z digest=sha256:07e3862e15ebde6e4d3ae77ed5b605d8b9416eba627f8f6c7cb3b7be64bb2c5a

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=sha256:86c9fe112b40f95e52492a11f9a0720334f2b009a814897d0adfa0e98da87bbb

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

source=arxiv_source observed=2026-08-08T21:10:23.249357Z digest=sha256:d73d3b509e90d9b49ad4092ec670ffdc6dd097c0cfa4ef052339f70ebecfdbac

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:af9f0f41a8da19e2d9f3773c50f78728bee6ca7ccf2986751f22404d8ff344c9

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

source=arxiv_source observed=2026-08-08T21:10:23.262872Z digest=sha256:b3cfc63a48ab17c265b1d95bf503983a2ee5722e130c6205e8150bae0fa3b7d9

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

source=arxiv_source observed=2026-08-08T21:10:23.271146Z digest=sha256:451b8511770af1a4b1e55c59e78c3a620ddfbae375e448b659d10ba7d66cf40f

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

source=arxiv_source observed=2026-08-08T21:10:23.280874Z digest=sha256:c6916faf3dbf62a5dd30cf93ce18c9e30d0f4b52a4a9f9396070dff036c55e6d

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:ef72e45b91f8d452a27393fdeb67e0b85d556914a132392003917180b5128586

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=sha256:4c6b07282b3a04d303ebdeb4c78b65a12c0ed473aae4ca491f29dc3c4f6cea68

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:e7f8ce5fa31f325097ac32321ca39ed5c767a6685228d07d1043fa875c1757ca

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

source=arxiv_source observed=2026-08-08T21:10:23.304210Z digest=sha256:d3dc3345a93604e37da9a5c001f9ed31dcf782eaa09e72a4638037393674f9fd

Pith citing papers

No inbound Pith citation observations are available.