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Paper Citation Record · LEDGER

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2502.00193.

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

pith.paper-citation-record.v1
2502.00193 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:57:50.547396Z

measured 58 of 58 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:43.210852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:16:25.829629Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy42
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b305cf53-31ad-417b-b94d-b15d7d33804d · outbound

This paper cites Byzantine-resilient non-convex stochastic gradient descent.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Byzantine-resilient non-convex stochastic gradient descent

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.555553Z

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=2026-08-09T19:57:50.255349Z digest=sha256:0f3108fc336235b6379f31d70fc5f49c4f862b5c1428f9cc2f6054039152575b

Observation 6bd13f47-7d9a-4d2e-ab4b-83e4310af883 · outbound

This paper cites Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.537508Z

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=2026-08-09T19:57:50.261196Z digest=sha256:ea99c579991f87998fe6fb522e64ea309b694c79fc881342cad04a648755194c

Observation 1a5212e1-4c44-4eed-9333-df94fe83430c · outbound

This paper cites Differential privacy has disparate impact on model accuracy.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Differential privacy has disparate impact on model accuracy

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.515828Z

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=2026-08-09T19:57:50.266688Z digest=sha256:361437737b2cc876cfd7859efa508a155956389eb3da74da7bf626f83a958d56

Observation 24ab1b60-02f4-42ef-a292-05b87f347416 · outbound

This paper cites A little is enough: Circumventing defenses for distributed learning.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning A little is enough: Circumventing defenses for distributed learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.498200Z

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=2026-08-09T19:57:50.272523Z digest=sha256:eb9549e1215e44beb263c27b6d71a897b2be49721b5e402e38cade2cfd7ba8ff

Observation 2ecdeef4-b2b8-451a-81ac-ac48b1de53a0 · outbound

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

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning M., Guerraoui, R., and Stainer, J

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.478126Z

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=2026-08-09T19:57:50.277828Z digest=sha256:3feae37158fd5f25204b69df8f3fc04d5c9c36a796c923ef4db6f37b464835c1

Observation a9ad964c-4d08-401c-90d8-644aea2580d1 · outbound

This paper cites R., Angeli, G., Potts, C., and Manning, C.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning R., Angeli, G., Potts, C., and Manning, C

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.459919Z

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=2026-08-09T19:57:50.283624Z digest=sha256:640ddfc62b3529548983e42750aea7c3b3e6fcfe8896c8db0d57e0b7dc56bc20

Observation 517deeaf-dd34-494b-bc59-5a5a89420d57 · outbound

This paper cites Learning from untrusted data.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Learning from untrusted data

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.441050Z

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=2026-08-09T19:57:50.289889Z digest=sha256:16af962c36c8f10bb850e9678922fbdde82492abcf050ad932014c8e0788eb29

Observation fea329d8-b181-444a-a990-28139db3ac47 · outbound

This paper cites Fine-grained theoretical analysis of federated zeroth-order optimization.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Fine-grained theoretical analysis of federated zeroth-order optimization

Reference 8

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raw_fallback, observed 2026-08-09T19:57:51.421575Z

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=2026-08-09T19:57:50.294778Z digest=sha256:74ac5d3f90b63369524fdb912276c517e54301a1181253d5ebbd3cf9bef3e84b

Observation 18928b5c-d931-41ca-8f84-f9d309fe6151 · outbound

This paper cites C., Jordan, M.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning C., Jordan, M

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.403444Z

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=2026-08-09T19:57:50.299825Z digest=sha256:03c86de6b39c0721860c07f7d3f2f5f062a1a9c91bbfdc4f1465b9d2f2553471

Observation 46d6f759-6389-4821-ba36-81766a9066ee · outbound

This paper cites Private aggregation in wireless federated learning with heterogeneous clusters.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Private aggregation in wireless federated learning with heterogeneous clusters

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.380829Z

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=2026-08-09T19:57:50.304866Z digest=sha256:fd554d2e5aee946cb9ab5d7f1134c66767a2f171991a14016445f675f6cbac01

Observation cffcbd17-df37-410f-99ef-2e230c764d07 · outbound

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

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning M., Farhadkhani, S., Guerraoui, R., Guirguis, A., Hoang, L.-N., and Rouault, S

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.361312Z

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=2026-08-09T19:57:50.309753Z digest=sha256:30c273f817394f462e25b2ac56de9a5582783a83441e89f6ea67a98d42a2bbe1

Observation 615b83cc-2d6d-400b-a323-2c28a4d432ec · outbound

This paper cites Local model poisoning attacks to byzantine-robust federated learning.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Local model poisoning attacks to byzantine-robust federated learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.337727Z

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=2026-08-09T19:57:50.314772Z digest=sha256:67d841acd5c5207666ea9aa92b1fc0b7a8f703e9f0e9506d968ce5e3b16239e8

Observation 63f645f1-a962-4336-a1ee-7201fbf686da · outbound

This paper cites N., and Zhou, Y.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning N., and Zhou, Y

Reference 13

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unresolved
no resolver link, observed 2026-08-09T19:57:50.319581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.319581Z digest=sha256:e433b29229fabe73064f60c81a80629584e944a4f45a7fb4f78fa24d52f36998

Observation e765a6bc-10ca-4c12-8ad8-48e3b4388e0c · outbound

This paper cites D., Kalai, A.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning D., Kalai, A

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.301945Z

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=2026-08-09T19:57:50.324459Z digest=sha256:b7a780d83eae29544ac004fd08038e50d775e99fe031c4296c7adfa1c3e4dcb8

Observation 46978c12-30a8-41f3-93ad-633da82fdcb5 · outbound

This paper cites On the information-adaptive variants of the admm: an iteration complexity perspective.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning On the information-adaptive variants of the admm: an iteration complexity perspective

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.285357Z

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=2026-08-09T19:57:50.329046Z digest=sha256:3eaa296fc0f2e84c87b18b884213c1a9c9cc918b3ff194fc624b3566f3dd2046

Observation 1a1f3ccc-7ab5-44bc-8fde-de4a033e6677 · outbound

This paper cites and Lan, G.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning and Lan, G

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.268720Z

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=2026-08-09T19:57:50.334064Z digest=sha256:81606bff3f178398c400e4f0e096630d79ebf8a39a226d25f424e6a14b9cccf0

Observation ca4e4366-8711-4337-9ae5-0fa328df38a6 · outbound

This paper cites Black-box adversarial attacks with limited queries and information.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Black-box adversarial attacks with limited queries and information

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.253423Z

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=2026-08-09T19:57:50.338991Z digest=sha256:ed18f9f3a9cd1d886ca6900e37c833649a47dcc93c8698f4f35de335a650d1a5

Observation 85a0a4eb-1035-4194-9dd0-c16aa5c55aed · outbound

This paper cites A., Li, S., and Caire, G.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning A., Li, S., and Caire, G

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.236702Z

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=2026-08-09T19:57:50.343864Z digest=sha256:2b46669d9dfa3ad48bf90d8190d7c2841be7d6e3dd0eb33d2778e6aad8bcd182

Observation 25ce674f-0c0f-44ae-9609-996f913310ad · outbound

This paper cites and Lindenstrauss, J.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning and Lindenstrauss, J

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.220467Z

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=2026-08-09T19:57:50.348797Z digest=sha256:7c89f6529164d6dc8b0d3fbb5a1e5d3217e7b007aefa3e85cfa7140e4c149b4e

Observation bf6b3740-49c3-46a5-974a-d79123e12c6b · outbound

This paper cites P., Rebjock, Q., Stich, S., and Jaggi, M.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning P., Rebjock, Q., Stich, S., and Jaggi, M

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.199591Z

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=2026-08-09T19:57:50.353948Z digest=sha256:0c7c669f81547f58e4b53294339d30042b8f20bc78f5efbb253abdcaf86e8481

Observation dce0f977-44de-49c1-99e7-2c602ffcdb02 · outbound

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

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning P., He, L., and Jaggi, M

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.182780Z

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=2026-08-09T19:57:50.359080Z digest=sha256:abad2a379337a83c568e312beec9c086e5ae55d5c81afa22ddfbef6df3d13d13

Observation 562c118e-256c-41da-855d-6f0629c6aaaa · outbound

This paper cites and Wolfowitz, J.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning and Wolfowitz, J

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.163574Z

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=2026-08-09T19:57:50.364150Z digest=sha256:d4899c0a6b1844f9a299cf9d933ed45b560038e8a3ced1538840ea11414ad3f8

Observation 8e938a50-8864-4d08-abe0-d21e15c32c74 · outbound

This paper cites Learning to Detect Malicious Clients for Robust Federated Learning.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Learning to Detect Malicious Clients for Robust Federated Learning

Reference 23

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no resolver link, observed 2026-08-09T19:57:50.369406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.369406Z digest=sha256:682fd3ac23d42a307b0b06eeb94c705d7bf8a9a624f53cad5b91854d3d2d0917

Observation 08af1bba-c669-460e-8d28-fc9b8c08420a · outbound

This paper cites Simple, unified analysis of Johnson-Lindenstrauss with applications.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Simple, unified analysis of Johnson-Lindenstrauss with applications

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:50.375356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.375356Z digest=sha256:8cea13365d24c9bb9470a2724b33718596842992b4416a4c95aaadbe002c226e

Observation fd1ca28a-623c-4b82-91f4-8d21311e0232 · outbound

This paper cites O., and Varshney, P.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning O., and Varshney, P

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.144925Z

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=2026-08-09T19:57:50.381261Z digest=sha256:56932caab207c1a169827a607aedb7f0a479cb275d4ffcd3acc07427aa23ed8e

Observation 41d805e4-fc7b-4231-99ce-27a60900fb24 · outbound

This paper cites an unresolved cited work.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-09T19:57:51.128325Z

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=2026-08-09T19:57:50.386695Z digest=sha256:012e369662752c2317dd063a9638c15bd79e784817be077cdeae13a6efd42af7

Observation 6c38131f-358c-4bfc-b80b-8182290016d3 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:50.392319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.392319Z digest=sha256:bc33eb273cb86eb0298d9e2a8d4c4ef19e3c1daebef1d1ad5638063b982f1f90

Observation f530da2e-1e16-4235-92a1-08852cebc720 · outbound

This paper cites An efficient statistical-based gradient compression technique for distributed training systems.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning An efficient statistical-based gradient compression technique for distributed training systems

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.111333Z

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=2026-08-09T19:57:50.399485Z digest=sha256:3f7b6808078bfc636d5fcecf0dcbb9e445f205bb3248280a46828a43814b6949

Observation 37ef1d83-4567-4477-bb47-e9eb4e80da9b · outbound

This paper cites V., Bondaschi, M., Vogels, T., Jaggi, M., Kim, H., and Gastpar, M.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning V., Bondaschi, M., Vogels, T., Jaggi, M., Kim, H., and Gastpar, M

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.092708Z

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=2026-08-09T19:57:50.404742Z digest=sha256:69420cc571f8bfba42f5db2bcee940398fa10dc2491526d4937c36bcc743c4eb

Observation d16d1a99-74bc-481d-85de-7b3a32113596 · outbound

This paper cites D., Chen, D., and Arora, S.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning D., Chen, D., and Arora, S

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:50.410072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.410072Z digest=sha256:9734ef42874ec33e681e6bdad21f3406ece47cacd6727474448cdf6022834d13

Observation eec7e311-8110-48be-9bd3-074a724ec31a · outbound

This paper cites an unresolved cited work.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:50.416405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.416405Z digest=sha256:e863c549087733502c1d3c73c22421e562ddc2997c474c2c4219327bc82d9963

Observation 42790764-0a9d-4497-a93b-ca7e957b91a1 · outbound

This paper cites Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:50.421569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.421569Z digest=sha256:612970a39c24ea744e803d194834be750be56ca8900ba066d1582d48d74a9eb9

Observation c22040e8-806e-404f-989e-461d05cb824a · outbound

This paper cites Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:50.427096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.427096Z digest=sha256:222bfa5cdf84b08e7f0b2847882042200155791592c159d5353eb3de33c3584c

Observation 8600d7f2-6e26-4958-9927-0c69fae99e09 · outbound

This paper cites Zeroth-order methods for nondifferentiable, nonconvex, and hierarchical federated optimization.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Zeroth-order methods for nondifferentiable, nonconvex, and hierarchical federated optimization

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.054736Z

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=2026-08-09T19:57:50.432480Z digest=sha256:76034cb1a9a51f4f1391d6715b37f14880d02ce13b25297beaee3dd7525015a2

Observation 3addd7f9-fa9d-4949-aabe-0a48065ea182 · outbound

This paper cites V., Herrera, F., and Mart \' nez-C \'a mara, E.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning V., Herrera, F., and Mart \' nez-C \'a mara, E

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.039023Z

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=2026-08-09T19:57:50.437366Z digest=sha256:ffc588b6c47b33bece3032aa4f200dc2fc9ff7603e41cd93fa48bad0096df112

Observation 4c70315d-dd59-400e-97e2-383771cc4c26 · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:50.442632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.442632Z digest=sha256:8bc0e1e4cd1e7429cbf122eaf5c755b508d801b755f78c3c8273e42eab030bbe

Observation fff918d9-8f03-4e81-99f8-09881233bb4f · outbound

This paper cites K., Moraes, M.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning K., Moraes, M

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:51.023415Z

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=2026-08-09T19:57:50.447878Z digest=sha256:80adc514008f7e54620a77c5ada8951e819db2d68d0d15492456baae1982ff56

Observation bc06642b-d9a3-4312-94cc-ed541a53bbbb · outbound

This paper cites an unresolved cited work.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:57:51.006858Z

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=2026-08-09T19:57:50.452786Z digest=sha256:3f46873ed7c5fd0590a163735d9d0736bacc56f352191cb7888b02ac605bcf47

Observation aa342947-e0c6-4c8d-9998-91ae97f63497 · outbound

This paper cites Auror: Defending against poisoning attacks in collaborative deep learning systems.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Auror: Defending against poisoning attacks in collaborative deep learning systems

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.988925Z

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=2026-08-09T19:57:50.457797Z digest=sha256:016ab0179cd61230f8e3e1a4eaac4f3cee2cdf3078d32e35a12a4ae52129749a

Observation 38efc425-39ca-468d-8f68-d3c6069caef4 · outbound

This paper cites D., Ng, A.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning D., Ng, A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.972306Z

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=2026-08-09T19:57:50.462742Z digest=sha256:4d889decd5c35b7deb627f6d9926e30a2541126eb9be009b5f0af97d539992ce

Observation e7b9e787-482a-44b7-8bf5-79ae617e6b5d · outbound

This paper cites Multivariate stochastic approximation using a simultaneous perturbation gradient approximation.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Multivariate stochastic approximation using a simultaneous perturbation gradient approximation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.956660Z

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=2026-08-09T19:57:50.467801Z digest=sha256:aa670c3a2ccf67e6a764ea922e3876b9ab40a4aee0c09cf8fc68c82217c9826d

Observation 1269dd92-224f-4187-8e13-aae7852b0cc4 · outbound

This paper cites Private fine-tuning of large language models with zeroth-order optimization.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Private fine-tuning of large language models with zeroth-order optimization

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.941127Z

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=2026-08-09T19:57:50.472848Z digest=sha256:4f2fb11016631718c4ca22dc86601605887fdbcb75c5af07ef39953299211d42

Observation 91a155f1-dcb6-469f-b68e-0c4505454e2a · outbound

This paper cites Distributed zero-order algorithms for nonconvex multiagent optimization.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Distributed zero-order algorithms for nonconvex multiagent optimization

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.924435Z

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=2026-08-09T19:57:50.478476Z digest=sha256:7a9635c46c9b348712a028a29120f2ba2646ae02632b1efc3817dcabc38ffff2

Observation 1474a045-24a8-4f7f-93f1-1342410e4132 · outbound

This paper cites z -SignFedAvg : A unified stochastic sign-based compression for federated learning.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning z -SignFedAvg : A unified stochastic sign-based compression for federated learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.906530Z

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=2026-08-09T19:57:50.484867Z digest=sha256:f08f49be37b9d943e6054555bd885053e176494a1537364e204a69aa159670e0

Observation 80b66190-9ada-4336-8a1f-03af6b321f7b · outbound

This paper cites A hybrid approach to privacy-preserving federated learning.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning A hybrid approach to privacy-preserving federated learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.889408Z

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=2026-08-09T19:57:50.490159Z digest=sha256:8e839f509e019bbeca964f3a3b02ae7e3f83f4538f2b1f0b2991982095a7e965

Observation 8675d9fd-d8aa-44ae-911f-c6b2c58cc95a · outbound

This paper cites P., and Jaggi, M.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning P., and Jaggi, M

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.872313Z

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=2026-08-09T19:57:50.496041Z digest=sha256:250affe69ecec2076518516a4c636ccb81b7415443a5e10c4ae651cf5d60723f

Observation 1248d24e-2519-45e6-801f-a4ceddfd241b · outbound

This paper cites an unresolved cited work.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:57:50.854025Z

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=2026-08-09T19:57:50.501318Z digest=sha256:5905419c3c45e161eec987af5cc288b7364849ac25e70966ab7a765af298e1b8

Observation 2de5b987-af72-4b9e-bf42-3fa72d363a5b · outbound

This paper cites an unresolved cited work.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-09T19:57:50.836935Z

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=2026-08-09T19:57:50.506233Z digest=sha256:c369c2587b7403e652ba402291c67d904ce9d91b6322513b8c823745dfd21090

Observation 0bd8cf2c-b16e-46b5-a738-e6b5dcc690e0 · outbound

This paper cites A new theoretical perspective on data heterogeneity in federated optimization.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning A new theoretical perspective on data heterogeneity in federated optimization

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.820066Z

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=2026-08-09T19:57:50.511319Z digest=sha256:64044b4d9239948bc06e8da3df7f41d03079ac995984b50ff0ccd2206c1e1ba0

Observation be5a7768-495d-47d3-93d8-57fb05647339 · outbound

This paper cites H., Farokhi, F., Jin, S., Quek, T.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning H., Farokhi, F., Jin, S., Quek, T

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.801044Z

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=2026-08-09T19:57:50.516281Z digest=sha256:929106bf4744fc47489c38bc4dab9cf0ededc521f82c84f838acaf2f8df20fbc

Observation 46e86a7e-a4a4-4582-bce3-c9b5de0139bb · outbound

This paper cites TernGrad : Ternary gradients to reduce communication in distributed deep learning.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning TernGrad : Ternary gradients to reduce communication in distributed deep learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.782705Z

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=2026-08-09T19:57:50.521289Z digest=sha256:0330f7c3e9da46e3320e803c1b9f03889d24ff60c0da4b342977c215eaa1d9a4

Observation 0314852a-f3e9-4024-a5c7-a84152fcb488 · outbound

This paper cites Fall of empires: Breaking byzantine-tolerant sgd by inner product manipulation.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Fall of empires: Breaking byzantine-tolerant sgd by inner product manipulation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.764914Z

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=2026-08-09T19:57:50.526705Z digest=sha256:fd460b228a089212963c857b4a12e01a3bdd383cf59a1133421d72d7c36546d3

Observation 9f61ed1f-e279-4747-abce-306f127053f0 · outbound

This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Byzantine-robust distributed learning: Towards optimal statistical rates

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.748035Z

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=2026-08-09T19:57:50.531911Z digest=sha256:cd0b62f946feadda8f4ef5e44897b81a276f0e4e866acd8859170ae0ddcfbdcc

Observation 853e43a4-f2ba-4b79-9181-e1926ec60a0e · outbound

This paper cites Federated Learning with Non-IID Data.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Federated Learning with Non-IID Data

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:50.536963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:57:50.536963Z digest=sha256:3e250bbbd6260b588be8957dd7b74a77cdd808ad39245bfb9d11f7ed29f9b0aa

Observation feaec60c-5607-4051-a2e4-3ba0882470a1 · outbound

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

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Federated learning on non-iid data: A survey

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.730040Z

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=2026-08-09T19:57:50.542150Z digest=sha256:7cb71241119789ec15a60b096ccd1fa8d5ce2c0445bb6851f60cb9264cb38416

Observation 39f2d880-e7b1-4743-9156-48ee0660b461 · outbound

This paper cites and Philip, S.

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning and Philip, S

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:50.711881Z

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=2026-08-09T19:57:50.547396Z digest=sha256:09aff99847554080e0d2fc679115d5e3989e583be2f5738433597d03799b0959

Pith citing papers

Observation 25deb499-83c5-4e8a-9b84-e49aeefc1086 · inbound

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning cites this paper.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:43.210852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:43.210852Z digest=sha256:5815dc60b37d7ccdc62960a9394f70a65819e5eb90f7dbff458342515da2fb8c

Observation 1ec96496-c241-4917-b3f5-9660305374c3 · inbound

Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates cites this paper.

Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning

Reference 187

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:16:25.832694Z

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=2026-05-12T04:27:35.605021Z digest=sha256:58a7b416176c8cb36aff722c2537793267c74b3661166e5c4e9f5b9669e829a6