Paper Citation Record · LEDGER

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs

As of 19 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2501.06953.

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

pith.paper-citation-record.v1
2501.06953 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:58:39.937476Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:25:30.458137Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:25:57.373982Z

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy38
unresolved18
parse uncertain2
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75a9b6ad-244a-4a80-bc2f-ac358a68f286 · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:38.928626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 519e6f1f-e480-4767-81ff-31fb41e1ce60 · outbound

This paper cites Fedatm: Adap- tive trimmed mean based federated learning against model poison- ing attacks,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Fedatm: Adap- tive trimmed mean based federated learning against model poison- ing attacks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.194455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 930572e5-34df-40f6-9ec4-a7ef1fe73698 · outbound

This paper cites Median-krum: A joint distance- statistical based byzantine-robust algorithm in federated learning,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Median-krum: A joint distance- statistical based byzantine-robust algorithm in federated learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.179539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 23330e62-4cff-4448-b9a8-bd1bf5a25773 · outbound

This paper cites Communication-efficient learning of deep networks from decentral- ized data,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Communication-efficient learning of deep networks from decentral- ized data,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:38.946857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9648def-fe13-4172-8fd4-e96a726de8d1 · outbound

This paper cites Byzantine-robust feder- ated learning through collaborative malicious gradient filtering,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Byzantine-robust feder- ated learning through collaborative malicious gradient filtering,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.151689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d32f2a5-b6f6-4312-a076-8af8da33ecf6 · outbound

This paper cites Fast and scalable private genotype imputation us- ing machine learning and partially homomorphic encryption,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Fast and scalable private genotype imputation us- ing machine learning and partially homomorphic encryption,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.135010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60fb716b-8b6f-4cc8-a0a0-99a46d4796aa · outbound

This paper cites Fast additive partially homo- morphic encryption from the approximate common divisor problem,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Fast additive partially homo- morphic encryption from the approximate common divisor problem,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.116075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 637a461a-b3a2-4bbc-9fce-c53524d21385 · outbound

This paper cites ACORN: input validation for secure aggregation,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs ACORN: input validation for secure aggregation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.099511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ee17885-5b8c-436d-853f-b6429ee2c971 · outbound

This paper cites Efficient, private and robust federated learning,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Efficient, private and robust federated learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.083917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fb874f21-d696-40d4-9bcd-864e4857e548 · outbound

This paper cites RoFL: Robustness of Secure Federated Learning.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs RoFL: Robustness of Secure Federated Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:39.225256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8684524-60f2-4cd8-8ee7-44ff7577e4c0 · outbound

This paper cites Privacy-preserving construction of generalized linear mixed model for biomedical computation,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Privacy-preserving construction of generalized linear mixed model for biomedical computation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.067759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 774d0609-d20d-420b-922e-8259ce4cdb38 · outbound

This paper cites A survey on federated learning,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs A survey on federated learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.052022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d1e2e6b-8ba4-4844-a51e-e64b6a7e93d7 · outbound

This paper cites Federated learning for healthcare informatics,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Federated learning for healthcare informatics,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:39.241750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3518f7fb-b96f-4d87-848d-c7e98f53dbf7 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.026088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5ba37e0-410a-43c4-b3de-a9a00a9a3a07 · outbound

This paper cites Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:58:40.282232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d981b0f1-800e-40de-81da-5d30d437caf2 · outbound

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

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Byzantine- robust distributed learning: Towards optimal statistical rates,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:41.010552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98861f3a-dd97-409b-816a-f57bb79c5187 · outbound

This paper cites zprobe: Zero peek robustness checks for federated learning,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs zprobe: Zero peek robustness checks for federated learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.995059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation feed64cc-d5f7-44b9-848b-4c1a210ee6ed · outbound

This paper cites Secure aggregation against malicious users,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Secure aggregation against malicious users,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.980296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abe17412-fba3-4c2f-bc61-2605f17884d0 · outbound

This paper cites Eiffel: Ensuring integrity for federated learning,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Eiffel: Ensuring integrity for federated learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.965459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d185cc11-6946-4472-961d-3a6096ecb2c6 · outbound

This paper cites A survey on ho- momorphic encryption schemes: Theory and implementation,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs A survey on ho- momorphic encryption schemes: Theory and implementation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.947856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 832dc21a-808e-4ab2-b390-686e72a95f35 · outbound

This paper cites Homomorphic encryption application on financialcloud framework,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Homomorphic encryption application on financialcloud framework,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.929122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f967cc3-33c2-4726-bfc7-f408d15b6987 · outbound

This paper cites A systematic review of homomorphic encryption and its contributions in healthcare industry,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs A systematic review of homomorphic encryption and its contributions in healthcare industry,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.910181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a176afae-d5ad-40cd-a2c7-8d105760f107 · outbound

This paper cites Homomorphic encryption for security of cloud data,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Homomorphic encryption for security of cloud data,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.892398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 009bf278-74ef-452d-b223-6730de2b4455 · outbound

This paper cites A review of homomorphic encryption and its applications,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs A review of homomorphic encryption and its applications,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.875765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation addd0913-0532-423e-9c5c-53d9c5ce40aa · outbound

This paper cites Homomorphic en- cryption for arithmetic of approximate numbers,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Homomorphic en- cryption for arithmetic of approximate numbers,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.860189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27e05cca-2ba4-4194-a6bc-85b15e423b86 · outbound

This paper cites Proofs that yield nothing but their validity and a methodology of cryptographic protocol design,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Proofs that yield nothing but their validity and a methodology of cryptographic protocol design,

Reference 26

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:58:40.197801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f5fd0de-7940-420d-93d9-c410d2b17009 · outbound

This paper cites Snarks for c: Verifying program executions succinctly and in zero knowledge,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Snarks for c: Verifying program executions succinctly and in zero knowledge,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:39.326606Z

Source-reported events for the cited work

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Observation ad4489c2-d487-400c-bd7d-878ae0d5679b · outbound

This paper cites Pinocchio: Nearly practical verifiable computation,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Pinocchio: Nearly practical verifiable computation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.833353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52f08bed-a9d5-43da-aa88-660c91e3dd65 · outbound

This paper cites On the size of pairing-based non-interactive arguments,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs On the size of pairing-based non-interactive arguments,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.817723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe068444-5850-4268-9d3e-24ecaa92e7cd · outbound

This paper cites Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:39.518207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa1b1d7-c62b-4c73-b6cb-1a1d549aeb9e · outbound

This paper cites Robust and secure federated learning with low-cost zero-knowledge proof,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Robust and secure federated learning with low-cost zero-knowledge proof,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.786912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78feeac2-60e0-49a9-a379-1c1da40e6e04 · outbound

This paper cites Snarkprobe: An automated secu- rity analysis framework for zksnark implementations,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Snarkprobe: An automated secu- rity analysis framework for zksnark implementations,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.770788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84a04ebd-0d55-4805-978f-d8d1c236ea7c · outbound

This paper cites Automated detection of under- constrained circuits in zero-knowledge proofs,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Automated detection of under- constrained circuits in zero-knowledge proofs,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.755262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 205b4a7d-0a26-4ece-960a-3e94953290cf · outbound

This paper cites Practical secure aggre- gation for privacy-preserving machine learning,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Practical secure aggre- gation for privacy-preserving machine learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.739135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b444cc9e-33d0-4580-a521-1f6ab21d72d0 · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.802104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ce42b7a-9583-4474-834c-3ca69a513440 · outbound

This paper cites Secure single-server aggregation with (poly) logarithmic overhead,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Secure single-server aggregation with (poly) logarithmic overhead,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.723200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 83743c01-02ca-41b7-9a8d-0930bf5633f5 · outbound

This paper cites Privacy-preserving deep learning via additively homomorphic encryption,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Privacy-preserving deep learning via additively homomorphic encryption,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.708262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f0524fa3-3b6f-42b9-91df-ca4e36067268 · outbound

This paper cites {BatchCrypt}: Efficient homomorphic encryption for {Cross-Silo} federated learn- ing,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs {BatchCrypt}: Efficient homomorphic encryption for {Cross-Silo} federated learn- ing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.693040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e15261ab-a299-4492-9c36-f0115cc5b94c · outbound

This paper cites {ACORN}: input validation for secure aggregation,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs {ACORN}: input validation for secure aggregation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.676730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50ef3621-eeef-4db6-9955-6be9b9690b6b · outbound

This paper cites Bulletproofs: Short proofs for confidential transactions and more,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Bulletproofs: Short proofs for confidential transactions and more,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.659984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ce89521-5a70-4550-9bc8-c83235838160 · outbound

This paper cites Circom: A circuit description language for building zero-knowledge applications,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Circom: A circuit description language for building zero-knowledge applications,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.643653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3fdec13c-97e5-4c91-879d-d70bf593af94 · outbound

This paper cites Crypten: Secure multi-party computation meets machine learning,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Crypten: Secure multi-party computation meets machine learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.627603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce10caea-ff50-40ad-9c7f-c85aa44deed0 · outbound

This paper cites Training Differentially Private Models with Secure Multiparty Computation.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Training Differentially Private Models with Secure Multiparty Computation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:39.578816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c5aeb1-8490-4c28-bf21-4a6268037899 · outbound

This paper cites Byzantine-resilient decentralized stochastic optimization with robust aggregation rules,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Byzantine-resilient decentralized stochastic optimization with robust aggregation rules,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.609774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bffd8cf4-75a8-44cb-b685-0cd970bb4c7d · outbound

This paper cites Byzantine-resilient sgd in high dimensions on heterogeneous data,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Byzantine-resilient sgd in high dimensions on heterogeneous data,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.593204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 748fb41a-9c3d-4955-8d70-8ba442871205 · outbound

This paper cites Sok: Understand- ing the prevailing security vulnerabilities in trustzone-assisted tee systems,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Sok: Understand- ing the prevailing security vulnerabilities in trustzone-assisted tee systems,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.577918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 437a29db-1059-4b52-9f6a-2f9e798df3e9 · outbound

This paper cites Federated dropout—a simple approach for enabling federated learning on resource constrained devices,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Federated dropout—a simple approach for enabling federated learning on resource constrained devices,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.561599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a981914f-cb7a-4826-a9f8-03eabb396f6e · outbound

This paper cites Minimax approximation of sign function by composite polynomial for homomorphic com- parison,.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Minimax approximation of sign function by composite polynomial for homomorphic com- parison,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:40.545798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 705e0fc3-228d-41e3-bef3-ceb722526558 · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.529067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9e127b91-fd17-4f13-85a1-ff414f2caf9a · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.510943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e27a41e-994d-4a34-a901-dc150510d667 · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.493989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation be2fd011-78fe-4882-a198-f01b68407420 · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.476879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce69a719-58f8-4e84-9839-500878892f8b · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 53

Resolution: parse uncertain; raw_fallback, observed 2026-08-10T20:58:40.461066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5e61674-5a0d-42be-bc08-48a602a48feb · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 54

Resolution: parse uncertain; raw_fallback, observed 2026-08-10T20:58:40.444556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 969701bf-dbd3-4510-b36f-882fdc47dcb8 · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.427376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79106262-1a64-4ba7-a0b2-87507eebbc70 · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.410916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8cf17531-370f-409d-b4e6-e9899be8e81a · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.394472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a648484d-848b-4586-bf2a-d8d8b5020d1a · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.376117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55c8b32f-f44a-4970-b6ec-e674fb91d272 · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.358342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3eb00d9a-0b97-40c7-89a0-f4fbce02a8e9 · outbound

This paper cites an unresolved cited work.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:40.341392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 9a4c8bdc-088c-40ec-868e-81961bb2c2c7 · inbound

How to Compress KV Cache in RL Post-Training? Shadow Mask Distillation for Memory-Efficient Alignment cites this paper.

How to Compress KV Cache in RL Post-Training? Shadow Mask Distillation for Memory-Efficient Alignment ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:25:57.378459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.