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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.255349Z digest=sha256:940d5c28f3b8f17db24a4ef9941a4be167611e6816456c0fc7c29415000a792c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.261196Z digest=sha256:234fdbffc8584e7801b33cc83c36cd0638aad101081531426eda52d480aade07

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.266688Z digest=sha256:2c0f37dfdd5c4a3ceed38678dc279056fada79e38cbf73693174191f59258b11

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.272523Z digest=sha256:a05a120442b341dd2f1aea90518c7d7b77e9849112d1737f7d4f4ac6bc94acbf

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.277828Z digest=sha256:acaeb38b75a6acd152d1d305b68a5fe0e34631d2cf7405eb5808d7880fc5f666

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.283624Z digest=sha256:ca871231b8a861e0f56b9a64a7cc6c0f31f6e4492dd42df54a15d1ef07535b48

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.289889Z digest=sha256:ca3b49086a59494b131613441ef1fc22e05969218afdb0c8331f9c59d3af3e4f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.294778Z digest=sha256:b90789a89fa77a38a88b3470340b80b310a0b53672fedd9c85ec1bee83409530

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.299825Z digest=sha256:c107ceed7dc026a22a0fb30b045edf481e5cbb7b955cfbf66cbf5a57ee2ad373

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.304866Z digest=sha256:7b77eaea570da71603f6427663ab834ee39fd11cdc57bbdf88953d283fd8725b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.309753Z digest=sha256:20f5622af98e8d6669391b9cb7b9d078514ca77f67fd0c0aaa049deb951fc066

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.314772Z digest=sha256:e512bc4ce7043e6f599e3d79dda6353aeb5a15793e980e50992799ba15541987

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:d490c1494225195d3efe39e11a254225c064ffbea2717e6d3d419674cfa9854b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.324459Z digest=sha256:a117ecb50c873b1db8653085980a586de09cb27ae92157ab5d82c77cd81f8f05

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.329046Z digest=sha256:8172cbe80a0d5089b9839d0b7fabe20a87d705727c9fd76466f4855a8f101099

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.334064Z digest=sha256:270908806c1bbcc7602baa35473d69d7df99a1465ca06edaf1790b687f11a53b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.338991Z digest=sha256:6edbe5c8c3327c7139655d5cf81cb044185a0fb907e1b3a389e2ebea84f61f60

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.343864Z digest=sha256:a854ae65f270a19605af088092d376be65a74625ff0f89cde1fb8904cb27f76e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.348797Z digest=sha256:904855e3d71c0891002866e1d0e902e876d08b1eae4eedbcd278f7616f5e7d2b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.353948Z digest=sha256:b3602c3ead1f27703311741eb19b0c6e2f5463cf73b7994739bb967b85839fe7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.359080Z digest=sha256:6480c3c83abef467e356c7ceb5b03fb8de13bbd6a211cedf3477dd6faa862dff

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
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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.364150Z digest=sha256:7255332cb1876f3a575599b75d501e38d3f9a2cdcb95a6b651fc687cedd68efa

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

Resolution
unresolved
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=sha256:5a86337c10bd8511e2e7e8815712c698fddd5cdf44271b4d15d5a762e384143c

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:ad457ada1b632ea10061dd57f4081ed34c73796060d7f0e21aa27e2e31cec680

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.381261Z digest=sha256:70f55b79adb6c52f857d0281ef72b19b98e3347c85269de0329ecf57f30cdb02

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.386695Z digest=sha256:1c6cf80fc0d411486fe9274dcce3155d4046d80f2b2db170569c22f849ded975

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=sha256:0b01d1358d03535fe0c1f177926495d54f8c369ffbe9f19d12a42bdf9efa8831

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.399485Z digest=sha256:7deabe0803aa5d05c8e354dea1fcffde73f112ffd92ff6cea46cff7eb6e5690c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.404742Z digest=sha256:449be907c4a5882a880a91fd7b007c3dd52d7b4b57d77238a125bef1af9a2984

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=sha256:1d4f144c5639a37ebd6837cef7687cf2803f1a07a2cdeaa187ae51ae4e531c0f

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:f61d01195f7adcf21743a9a6dfa9cf0be3548b752c118f5a37c068bf4cf7a6cb

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=sha256:6d510e2ae249b372dc33554c3b9049a9b16826f15876dfaa239788e7f0835824

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=sha256:784309134e2eaf1320308f8b0952f9dd26a1f74aa1e63115ecb03d9d6a4533c8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.432480Z digest=sha256:6ceff1b39ed5f404bc45e44a06715a6ef74d79ae2b4200f68ccd0a1967f42b16

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.437366Z digest=sha256:892a46824d3e9ed360c60d19ceff5af1d19056835a408eccae2b455fae81e5ed

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=sha256:95274c9cf6b57b60e7819779630c72cfa181c5dc97a3e65ffd4259e0b3c0112d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.447878Z digest=sha256:27b35df9bc238708caaf49594324f1f75fc45c3e7006576acb835ec05de38eb4

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.452786Z digest=sha256:14d28ead3ef82e205d887f1f2dd295776c3535cc233166d86185175aaf4ffff2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.457797Z digest=sha256:bd66666b6d8b0166572d923be0623593122b8532ce800d3f085acbf5e72adb0b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.462742Z digest=sha256:c711b1b9d59a5cb34819378a70ecaddde057004e5836b616f6f819229df0f030

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.467801Z digest=sha256:6d386d7ec9620f971c191159b7cf1dafdfe9c94819d4ab61d6a2f94655114784

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.472848Z digest=sha256:b1d3a44013a98b6fdeba6b059c45d7482b3b64da822755ac3ec04ae6b79ad795

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.478476Z digest=sha256:036f97253b5cb1ad1001f64c96e2c618a81d026a349573be81885b052a13f26c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.484867Z digest=sha256:6b0407701d14c90c6445df642be4de2ec8a624678173f6b44411ce7d831b4ef2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.490159Z digest=sha256:46c5ba0eda3a951497d1167c446692916dc0245272c222d39f42cc5c14a16504

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.496041Z digest=sha256:47ea93c18414981a7051324ba288f0c50f6f487804ff1dac4919b5fe4e101773

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.501318Z digest=sha256:9463570f76be250a384a55ac263a068065c28f03fb78184f1d2ff17e322d4f49

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.506233Z digest=sha256:91508bff65c822f28659ace44f6532b0a867402c37bcf37de49413a95acc3442

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.511319Z digest=sha256:8b6c0b689582e820671714a80641441647f255715ad4508d9772567966ab0275

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.516281Z digest=sha256:70589b51038690a5014fa99bb8f747a55e2666ccaa4b562263e6a3e400c48258

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.521289Z digest=sha256:347c8059bba47f7bab4f1950f952e345a40c8b4dcec9da5e817906c04934b04c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.526705Z digest=sha256:3b3237cac4ab71c169e48ca2c7afe59bc2e24329ff8f8bf90208603b0e92750c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.531911Z digest=sha256:0c745d4936458953dfbac952d89ef495666fd7650ded63eb8ccd67c5f5504b30

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:c9f6d3e7a896a0192b6ab21c998fa7c44bbd1ad4e889d4ae752e0fc9792c8e28

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.542150Z digest=sha256:e2c533253125a7eb69418bb9352832231af11bae61b3d523514768a2e078eb0b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.547396Z digest=sha256:82b2d6450fefadfceeb0b42e210e35a406483f1294e4daf76d1f647011e5872d

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=sha256:27b3d1b931ee3bcd2916f78acf2d3ecfc39ae76a732fe3d7279126e83f6ce882

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-12T04:27:35.605021Z digest=sha256:2cf436db68467328d0f08830cb0f3c31fd3d18a2d211c76bffed179935b1f9d3