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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.255349Z digest=sha256:899465ce70413cacaa6676dd1428bb0b0e1a898987781861453f3ea9f95b2178

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.261196Z digest=sha256:b12c3fef7175c1313cadcf6b7eea79db212acd0760a18405299a0a9ac5d01cfb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.266688Z digest=sha256:5ed57b5fda4d87123a9bf89ace70c3afe377b45b896e7f41fee8c540f244fd4b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.272523Z digest=sha256:5dce7ea36d63c2f4a894d37b519a9d20fa26862987308483da5774184f2a6523

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.277828Z digest=sha256:3b8c29a7f4dc18a51f08aa384e1229f6cfffe717ec184ab8e7844a8c83ce6ea8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.283624Z digest=sha256:157218454ef56f618a4ff740113cf0fe2186257d7bd18927bd08c83952a8ebee

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.289889Z digest=sha256:b15c47e83c06553954ebb83d93923edb21045411f4127b4ff9dcdbb4e6b8ee35

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.294778Z digest=sha256:478a3c9b504ce4ebce2ab6d565e8e69fff6189ab9fa3af148da77048d5a04d0f

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.299825Z digest=sha256:97d675acab9291e2a81faeaae2f3796eac16f75315ea7d484068dbba43470419

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.304866Z digest=sha256:f3f427a3d169c4d94034268304a9a083203caaee75c074d06278a5117a8f5008

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.309753Z digest=sha256:612d0a663f1915547ccbd9c9f3e4db3448a938c92965a84acbaaa1e1fa34a31e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.314772Z digest=sha256:86e5af1192e1a062cf2deef3c534365ae4c7129d45667bbea0e9912311dae1fc

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

Resolution
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=sha256:32caaa7f49e0681e80f69b39bf102c982c3199236720a8b37142cdeb392288be

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.324459Z digest=sha256:f877e54849ae081162d864103dcc0c6fbf62fde44bbb6868dd28bbf3b90c4b51

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.329046Z digest=sha256:98863e92a068173846301eab4cc0936c2eedbf285dd221564dd1c99ec827a785

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.334064Z digest=sha256:71e5d2141d07c37d110447f8ade2ae577e0652acd71ed0375a8b859d585856e3

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.338991Z digest=sha256:3260eaff7b3d26dfbd0479b221dce6088366d2a32cb00a99fcc7548242efb5f2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.343864Z digest=sha256:0c26a21fe41864a097dd48dbcbbb9e70273bae2b6199b272e9effa50f03cc520

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.348797Z digest=sha256:ba94a09c8d86e8eb17d426c84e5373d99d3a3bccfe833e37bf7ed29caa451548

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.353948Z digest=sha256:6a8f742eb8b499a7e8615b2890a64f7c8829ca39e5e6f63da0dfa07ce640277a

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
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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.359080Z digest=sha256:d6ec63176bcf1ee19809053d6bed5c3a3ba4bd7abb1b5c2c85bf1642458aab03

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.364150Z digest=sha256:35589ac0f6fd3fb76883f7ba2cde81b893466d1ddc577d646b0913daa397fc4f

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=sha256:099652bf2a1a5e3c5458a558def95cb1b994f660f5be93dc38220701aa583297

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:d14b91ccfab3e4706ae65cb5431f1e5a065c2279f66fd58e0c02201b299454cb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.381261Z digest=sha256:7b2109f5b84acfc98ffc3223806af43b6c3cccb4f86f184dee9fd599a123562e

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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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.386695Z digest=sha256:9df09248463dfec09501ce9164fb29453e3d3576e12484dec2d12adc0d0f73e9

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=sha256:99c232108e81222230c8381dd7644678ab44e6b5ead0da0b396c4e148e6b9af5

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.399485Z digest=sha256:bdfa61a84d8a81a0e31ec051a0a645549054426a9b0cccb8f4421027de08facd

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.404742Z digest=sha256:0f0602d2b3e041dad0e29abcab4bf3b3102ccc8a732ef70b7b6d88419b6b2e16

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:ae8d96b5797cb82c6157cea21aed573fd5788a1d383f67ffa200829c860f70ff

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=sha256:395cd0a003a42eb37f737ca5c298eb5472329423f4ea55fb2008f4fd68293a46

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:c54ca16d29dfc6b67317bf4e7c36e6e72275a4dad3404a35502524afc4bcebfd

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:bc7bf903b8a1b9e75409d4b7300ab6ed6b4bab8303a27b354ab9a9e76945dbff

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.432480Z digest=sha256:0b27bd227921661f70877188451a660fa1baaa6e329af7414f78c6a3b0efeb9b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.437366Z digest=sha256:c3a063752a9a0706f52b508b67c81c9b9d417b9b1fd3b1ae4d942be286b58e68

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:caa32921d73d84e9ff3ba6fd00e12c6705848e50a816b88e475c0967abb0763c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.447878Z digest=sha256:1ed3803c4aa0e8cffa87f859d8c2ca8bf8db038fad4367846a638242e4a96657

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.452786Z digest=sha256:61dc4425413835e486e811b0cf49d8fc23191271bd430699944a555b3fe04186

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.457797Z digest=sha256:b2274e27db83035026277e994a8921de27a6c2c184ee888fe8e43b863d7e513d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.462742Z digest=sha256:291ba43d05e587938ec1cef6d0b6a80cf243be95c834fa38cf27e6f72fc67719

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.467801Z digest=sha256:f21d31a0aeca85965c450d8030b1967086b4382b220f7b5b47ce2c0b23abb077

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.472848Z digest=sha256:69d291b1de577bbb8814df49333d085a31f46140a3efc00e68dcd9f2bb8a4569

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.478476Z digest=sha256:c0e87d2818b5b8e963e8259f33e804c0ea1edfaa44327b37cadbaf1be375fc2d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.484867Z digest=sha256:b0d3f2c2c06c5acf3a4ae562d0cce183c13e28925addbd704b123957901ca0db

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.490159Z digest=sha256:7e02dc2c4fe1a005eb10540322b431c8dd80c958efb3474945c0bda45880e8e1

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.496041Z digest=sha256:d1f4fa6924f08fde19dd303a2a91f7adde363bf27789cfc883fd05502ecdacc8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.501318Z digest=sha256:0548ef2d4b83c6d7698880920cca09e4d1f1ee0e336e971697c05515be802811

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.506233Z digest=sha256:e5510fab9b74303bbe9318679121653cf993729a07f12f7c1a8df6aaa0390073

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.511319Z digest=sha256:7cd35185f3aa0afbd65fbf5512854fd08e627d0771aa828a0cfc8efa3b8f2375

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.516281Z digest=sha256:ba2cb5a010c843ac1299dba4789c5988a008115202884112e52e75f7d257848c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.521289Z digest=sha256:b8f543187046bb13598d8a32d7e171ae0cc2f73a1c07d60bff9f9eed288ae59d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.526705Z digest=sha256:6867369ac1f3210b0d046cfaef19564178e3d491e89ea01290519a6c1eb3c24f

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.531911Z digest=sha256:b7cd28ba606f7a81734175650dfb73ab4c396d38f56b5cb081ec296cbb344961

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:bac17f29cc4886d1bc18af9d2459adf21f06ad4865142ded287194b09b21f0fd

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.542150Z digest=sha256:a76e36db41301c27bdce7d5644404b05466d12c21470df6c7b26fc4fbb9b1b05

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:57:50.547396Z digest=sha256:3b3414aacf9f4404d8b9532ea7be0d584dc2f69c4c7cd62d15e99c8397b29fff

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=sha256:01e7e2d9d2894e625a2a56905ba9ecfc32719ef4f6227228eca20da9f76edadb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-12T04:27:35.605021Z digest=sha256:ea437cf8fa80cd36e46350d114c8c19e8fff01898f265ab0f56019c18c87a03f