Towards Trustworthy Federated Learning with Untrusted Participants | Paper Citation Record

Observation 25896afc-4893-4e0b-88df-83adf7ae211e · outbound

This paper cites write newline.

Towards Trustworthy Federated Learning with Untrusted Participants write newline

Reference 1

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Observation c6696cf4-2cb4-4d59-88e0-f4f58088f541 · outbound

This paper cites Robust testing and estimation under manipulation attacks.

Towards Trustworthy Federated Learning with Untrusted Participants Robust testing and estimation under manipulation attacks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:02.052739Z

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Observation f3061f2b-5da5-41a0-8b3a-f4c74fc325c2 · outbound

This paper cites T., Yu, F.

Towards Trustworthy Federated Learning with Untrusted Participants T., Yu, F

Reference 3

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Observation 33f01c2d-e2e3-4988-906e-18cc08866f07 · outbound

This paper cites K., Tankala, P., Venkat, P., and Zhang, F.

Towards Trustworthy Federated Learning with Untrusted Participants K., Tankala, P., Venkat, P., and Zhang, F

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:02.028467Z

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Observation 645e7aae-b3e4-4b01-b60d-29dc59071714 · outbound

This paper cites B yzantine-resilient non-convex stochastic gradient descent.

Towards Trustworthy Federated Learning with Untrusted Participants B yzantine-resilient non-convex stochastic gradient descent

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:02.015836Z

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Observation 35c1e86c-b89f-4b6c-b861-0fe031a22ac6 · outbound

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

Towards Trustworthy Federated Learning with Untrusted Participants Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:02.000776Z

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Observation 09f2e326-fb50-4e2c-ba44-091012142c9a · outbound

This paper cites Robust distributed learning: Tight error bounds and breakdown point under data heterogeneity.

Towards Trustworthy Federated Learning with Untrusted Participants Robust distributed learning: Tight error bounds and breakdown point under data heterogeneity

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.984858Z

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Observation 9b454248-2b98-4201-ad2f-465709dfae41 · outbound

This paper cites On the privacy-robustness-utility trilemma in distributed learning.

Towards Trustworthy Federated Learning with Untrusted Participants On the privacy-robustness-utility trilemma in distributed learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.970487Z

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Observation dbb81095-8bc9-4962-bd73-b34565ff44b2 · outbound

This paper cites The privacy power of correlated noise in decentralized learning.

Towards Trustworthy Federated Learning with Untrusted Participants The privacy power of correlated noise in decentralized learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.956657Z

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Observation bc7858e0-b30e-4a40-9c8d-a6aad80534a7 · outbound

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

Towards Trustworthy Federated Learning with Untrusted Participants A little is enough: Circumventing defenses for distributed learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.942050Z

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Observation 8ab1fba5-2e45-4bed-9f99-e2fc930068e8 · outbound

This paper cites Private empirical risk minimization: Efficient algorithms and tight error bounds.

Towards Trustworthy Federated Learning with Untrusted Participants Private empirical risk minimization: Efficient algorithms and tight error bounds

Reference 11

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Observation aceee6f6-9133-4a65-b881-7d1dd9faacbe · outbound

This paper cites and Tsitsiklis, J.

Towards Trustworthy Federated Learning with Untrusted Participants and Tsitsiklis, J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.918924Z

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Observation 77260611-0386-47ab-a6a0-4e537255f950 · outbound

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

Towards Trustworthy Federated Learning with Untrusted Participants M., Guerraoui, R., and Stainer, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.904559Z

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Observation be90e061-2754-403d-96ab-2ef4d9fb00b0 · outbound

This paper cites B., Patel, S., Ramage, D., Segal, A., and Seth, K.

Towards Trustworthy Federated Learning with Untrusted Participants B., Patel, S., Ramage, D., Segal, A., and Seth, K

Reference 14

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Observation 8afa0318-6c0f-4f82-beac-92936ff84989 · outbound

This paper cites Distributed statistical machine learning in adversarial settings: B yzantine gradient descent.

Towards Trustworthy Federated Learning with Untrusted Participants Distributed statistical machine learning in adversarial settings: B yzantine gradient descent

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.881064Z

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Observation 3e4f45eb-f94d-4830-aa44-c6bd475e2a58 · outbound

This paper cites Distributed differential privacy via shuffling.

Towards Trustworthy Federated Learning with Untrusted Participants Distributed differential privacy via shuffling

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.866213Z

Source-reported events for the cited work

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Observation d53ac042-b492-4a36-a711-375544037693 · outbound

This paper cites Manipulation attacks in local differential privacy.

Towards Trustworthy Federated Learning with Untrusted Participants Manipulation attacks in local differential privacy

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.850960Z

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Observation 539e8232-01ff-4a45-8d19-c32b44d87489 · outbound

This paper cites Towards practical homomorphic aggregation in byzantine-resilient distributed learning.

Towards Trustworthy Federated Learning with Untrusted Participants Towards practical homomorphic aggregation in byzantine-resilient distributed learning

Reference 18

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Observation aaed6396-0268-4332-9eae-0bd5aac4fd83 · outbound

This paper cites Differential Privacy-enabled Federated Learning for Sensitive Health Data.

Towards Trustworthy Federated Learning with Untrusted Participants Differential Privacy-enabled Federated Learning for Sensitive Health Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.319408Z

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Observation 1b84d317-0992-4c33-9cb2-9f13c3fc75a1 · outbound

This paper cites and Boneh, D.

Towards Trustworthy Federated Learning with Untrusted Participants and Boneh, D

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.837262Z

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Observation c8472cdd-5adc-4d4d-b9a5-4d713540f12e · outbound

This paper cites a., Senior, A., Tucker, P., Yang, K., Le, Q., and Ng, A.

Towards Trustworthy Federated Learning with Untrusted Participants a., Senior, A., Tucker, P., Yang, K., Le, Q., and Ng, A

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.824484Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95c92eb9-1f61-4c67-a5da-fbba7e3d54f6 · outbound

This paper cites M., Li, J., Moitra, A., and Stewart, A.

Towards Trustworthy Federated Learning with Untrusted Participants M., Li, J., Moitra, A., and Stewart, A

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.811063Z

Source-reported events for the cited work

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Observation 631c8814-5e99-4bc0-a133-623d3233c829 · outbound

This paper cites C., Jordan, M.

Towards Trustworthy Federated Learning with Untrusted Participants C., Jordan, M

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.797568Z

Source-reported events for the cited work

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Observation 7161a1db-d429-4f29-8a0e-fc664783ca99 · outbound

This paper cites C., Jordan, M.

Towards Trustworthy Federated Learning with Untrusted Participants C., Jordan, M

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.340906Z

Source-reported events for the cited work

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Observation 0030b0ce-eee2-429a-80a5-3d2ae6155b3e · outbound

This paper cites Amplification by shuffling: From local to central differential privacy via anonymity.

Towards Trustworthy Federated Learning with Untrusted Participants Amplification by shuffling: From local to central differential privacy via anonymity

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.773836Z

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.

Observation d929e3c6-f0f2-437f-8921-b5c6f21ab45e · outbound

This paper cites B yzantine machine learning made easy by resilient averaging of momentums.

Towards Trustworthy Federated Learning with Untrusted Participants B yzantine machine learning made easy by resilient averaging of momentums

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.759053Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e13bff53-132c-45ab-b9c6-8133a6ac3b13 · outbound

This paper cites Distributed robust learning, 2015.

Towards Trustworthy Federated Learning with Untrusted Participants Distributed robust learning, 2015

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.744074Z

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.

Observation 5746a607-e5ae-4bc2-ab23-d3fb30a85ba8 · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures.

Towards Trustworthy Federated Learning with Untrusted Participants Model inversion attacks that exploit confidence information and basic countermeasures

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.358847Z

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Observation e86b333a-d8dd-44d4-8c50-63f901ce446f · outbound

This paper cites R \'e nyi divergence measures for commonly used univariate continuous distributions.

Towards Trustworthy Federated Learning with Untrusted Participants R \'e nyi divergence measures for commonly used univariate continuous distributions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.730039Z

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.

Observation f21be6d1-2087-4d2d-82cf-a35ece9f04ea · outbound

This paper cites DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum.

Towards Trustworthy Federated Learning with Untrusted Participants DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum

Reference 30

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Observation e82f1e3d-6a75-48d8-b5d1-502e172a2c07 · outbound

This paper cites an unresolved cited work.

Towards Trustworthy Federated Learning with Untrusted Participants Unresolved cited work

Reference 31

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Observation a5bb5cf2-619f-40ed-b5c5-533ad5b3d1b9 · outbound

This paper cites Deep residual learning for image recognition.

Towards Trustworthy Federated Learning with Untrusted Participants Deep residual learning for image recognition

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.375963Z

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Observation c8d2b670-9769-4d53-8824-c11c7c599041 · outbound

This paper cites Deep models under the gan: Information leakage from collaborative deep learning.

Towards Trustworthy Federated Learning with Untrusted Participants Deep models under the gan: Information leakage from collaborative deep learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.380134Z

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Observation af0283c0-e540-48bb-93c5-de24be782a3d · outbound

This paper cites B., Kamath, G., and Majid, M.

Towards Trustworthy Federated Learning with Untrusted Participants B., Kamath, G., and Majid, M

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.706397Z

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.

Observation 3f3679d2-7dc9-48f5-af15-9206db660f1e · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Towards Trustworthy Federated Learning with Untrusted Participants Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.388632Z

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Observation 4a6a2931-5dc4-4077-8b8b-dc910d9bf267 · outbound

This paper cites Personalized federated learning with differential privacy.

Towards Trustworthy Federated Learning with Untrusted Participants Personalized federated learning with differential privacy

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.692654Z

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.

Observation 5f602c0a-7f4e-4f21-b33b-02993242d5e4 · outbound

This paper cites M., Sarwate, A.

Towards Trustworthy Federated Learning with Untrusted Participants M., Sarwate, A

Reference 37

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T04:21:01.008382Z

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Observation 458393b5-ee35-49a1-9b94-ef267107cad4 · outbound

This paper cites Distributed learning without distress: Privacy-preserving empirical risk minimization.

Towards Trustworthy Federated Learning with Untrusted Participants Distributed learning without distress: Privacy-preserving empirical risk minimization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.678914Z

Source-reported events for the cited work

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Observation bd308d2b-b50d-4773-8a9c-b9e0d7e89056 · outbound

This paper cites B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A.

Towards Trustworthy Federated Learning with Untrusted Participants B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.406495Z

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Observation d1c9645c-7912-4195-9ed1-2c494219e22c · outbound

This paper cites A., Makowski, M.

Towards Trustworthy Federated Learning with Untrusted Participants A., Makowski, M

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.653835Z

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.

Observation 2d2c5d7f-81f2-48a4-b48f-aeb202b13dcb · outbound

This paper cites Linear convergence of gradient and proximal-gradient methods under the polyak- ojasiewicz condition.

Towards Trustworthy Federated Learning with Untrusted Participants Linear convergence of gradient and proximal-gradient methods under the polyak- ojasiewicz condition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.639660Z

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Observation 3ff06b01-e254-434b-bc7b-e7ae12d8640d · outbound

This paper cites P., Kale, S., Mohri, M., Reddi, S., Stich, S., and Suresh, A.

Towards Trustworthy Federated Learning with Untrusted Participants P., Kale, S., Mohri, M., Reddi, S., Stich, S., and Suresh, A

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.626926Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8a50679-36b1-40d8-ab10-96901cd4688f · outbound

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

Towards Trustworthy Federated Learning with Untrusted Participants P., He, L., and Jaggi, M

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.614673Z

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.

Observation d84edfd7-fd2e-4335-8c7d-9647e11b709e · outbound

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

Towards Trustworthy Federated Learning with Untrusted Participants P., He, L., and Jaggi, M

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.600195Z

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.

Observation b82143f9-ba59-4134-865e-c4e1e25f58a3 · outbound

This paper cites P., Lee, H.

Towards Trustworthy Federated Learning with Untrusted Participants P., Lee, H

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.430827Z

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Observation 5b88d548-e7e5-4e1c-ac15-d98cec71b013 · outbound

This paper cites The B yzantine generals problem.

Towards Trustworthy Federated Learning with Untrusted Participants The B yzantine generals problem

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.434369Z

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Observation 7613655c-6e20-46d5-84e3-d65c903a3638 · outbound

This paper cites and Cortes, C.

Towards Trustworthy Federated Learning with Untrusted Participants and Cortes, C

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.577556Z

Source-reported events for the cited work

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Observation f7f1d325-351c-4b63-91d1-473e80c61a36 · outbound

This paper cites Robust and differentially private mean estimation.

Towards Trustworthy Federated Learning with Untrusted Participants Robust and differentially private mean estimation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.563288Z

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.

Observation a4b28c01-0231-4082-8eaa-d8185a469935 · outbound

This paper cites Differentially private B yzantine-robust federated learning.

Towards Trustworthy Federated Learning with Untrusted Participants Differentially private B yzantine-robust federated learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.548479Z

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.

Observation 07b23795-2292-4aa3-8073-05a8c158ca32 · outbound

This paper cites D., and Shmatikov, V.

Towards Trustworthy Federated Learning with Untrusted Participants D., and Shmatikov, V

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.448453Z

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Observation bf9e9843-9f85-4f99-b7f0-87a9d648ad0d · outbound

This paper cites R \'e nyi differential privacy.

Towards Trustworthy Federated Learning with Untrusted Participants R \'e nyi differential privacy

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.452221Z

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Observation 6adae7b2-9d8d-43b8-aa1a-3905c85e47c8 · outbound

This paper cites an unresolved cited work.

Towards Trustworthy Federated Learning with Untrusted Participants Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.455644Z

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Observation b512f7c9-9986-4723-8d00-587b7c77c7d7 · outbound

This paper cites Differentially private federated learning on heterogeneous data.

Towards Trustworthy Federated Learning with Untrusted Participants Differentially private federated learning on heterogeneous data

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.516448Z

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.

Observation 6debd4fd-f4b7-4cfc-8cd3-b4e4e39f39e2 · outbound

This paper cites Lecture notes: Statistics, optimization and algorithms in high dimension, 2020.

Towards Trustworthy Federated Learning with Untrusted Participants Lecture notes: Statistics, optimization and algorithms in high dimension, 2020

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.500820Z

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.

Observation bbcd3a2c-b97a-4971-9f73-2800e7ab4076 · outbound

This paper cites T., Aono, Y., Hayashi, T., Wang, L., and Moriai, S.

Towards Trustworthy Federated Learning with Untrusted Participants T., Aono, Y., Hayashi, T., Wang, L., and Moriai, S

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.487034Z

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.

Observation e5b4dc14-84c5-40ac-a089-03420d40e864 · outbound

This paper cites an unresolved cited work.

Towards Trustworthy Federated Learning with Untrusted Participants Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:21:01.473626Z

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.

Observation 6cedb57a-b0a0-4046-b024-23844cb2f034 · outbound

This paper cites and H \"u tter, J.-C.

Towards Trustworthy Federated Learning with Untrusted Participants and H \"u tter, J.-C

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.460354Z

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.

Observation 2370fae9-69ee-4ce3-bd7e-51e9d692c4df · outbound

This paper cites An accurate, scalable and verifiable protocol for federated differentially private averaging.

Towards Trustworthy Federated Learning with Untrusted Participants An accurate, scalable and verifiable protocol for federated differentially private averaging

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.446167Z

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.

Observation e6a848f2-6138-4d72-975e-934da7be7d33 · outbound

This paper cites How to share a secret.

Towards Trustworthy Federated Learning with Untrusted Participants How to share a secret

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.484189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe0715e7-12cc-484c-a923-ef771eeea1c3 · outbound

This paper cites Membership Inference Attacks against Machine Learning Models.

Towards Trustworthy Federated Learning with Untrusted Participants Membership Inference Attacks against Machine Learning Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.488254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2632eb07-1470-4830-8d5f-7234f66bbab6 · outbound

This paper cites Resilience: A criterion for learning in the presence of arbitrary outliers.

Towards Trustworthy Federated Learning with Untrusted Participants Resilience: A criterion for learning in the presence of arbitrary outliers

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.412390Z

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.

Observation 9c5cc2da-6e0e-4c7f-b291-47aae463d49f · outbound

This paper cites Introduction to the non-asymptotic analysis of random matrices.

Towards Trustworthy Federated Learning with Untrusted Participants Introduction to the non-asymptotic analysis of random matrices

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.496985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d05033b-3031-4f2d-a511-ae4800665825 · outbound

This paper cites Beyond inferring class representatives: User-level privacy leakage from federated learning.

Towards Trustworthy Federated Learning with Untrusted Participants Beyond inferring class representatives: User-level privacy leakage from federated learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.501823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da12245c-c25a-4b63-a853-bb3102e1889d · outbound

This paper cites Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms.

Towards Trustworthy Federated Learning with Untrusted Participants Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.505987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62cade4a-07ed-43d6-afba-325e5590da82 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Towards Trustworthy Federated Learning with Untrusted Participants Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.510505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69040a6b-4f98-47d9-b5ad-bd123d053ea8 · outbound

This paper cites Generalized B yzantine-tolerant sgd.

Towards Trustworthy Federated Learning with Untrusted Participants Generalized B yzantine-tolerant sgd

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.400146Z

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.

Observation 21cb9a30-b70c-4dc0-9e7e-6f7ff3c8b447 · outbound

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

Towards Trustworthy Federated Learning with Untrusted Participants Fall of empires: Breaking byzantine-tolerant sgd by inner product manipulation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.385193Z

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.

Observation f202fe13-f029-40d6-9eea-10fa578994f7 · outbound

This paper cites Unraveling the connections between privacy and certified robustness in federated learning against poisoning attacks.

Towards Trustworthy Federated Learning with Untrusted Participants Unraveling the connections between privacy and certified robustness in federated learning against poisoning attacks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.370138Z

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.

Observation fe30d771-680d-441d-a217-093ab2148ec6 · outbound

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

Towards Trustworthy Federated Learning with Untrusted Participants B yzantine-robust distributed learning: Towards optimal statistical rates

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.355689Z

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.

Observation c27c6d70-14a4-4f42-bff6-9ab15aba4889 · outbound

This paper cites Opacus: User-Friendly Differential Privacy Library in PyTorch.

Towards Trustworthy Federated Learning with Untrusted Participants Opacus: User-Friendly Differential Privacy Library in PyTorch

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:00.532103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f38fa0c-4c3d-4f79-b505-34a7878e0a97 · outbound

This paper cites BatchCrypt : Efficient homomorphic encryption for Cross-Silo federated learning.

Towards Trustworthy Federated Learning with Untrusted Participants BatchCrypt : Efficient homomorphic encryption for Cross-Silo federated learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.341593Z

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.

Observation 62964878-98c8-4ebb-ba70-812874d0dd25 · outbound

This paper cites Robust estimation via generalized quasi-gradients.

Towards Trustworthy Federated Learning with Untrusted Participants Robust estimation via generalized quasi-gradients

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.327515Z

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.

Observation 0606d51a-86cb-41e3-a76b-82a6ec1580d0 · outbound

This paper cites and Ling, Q.

Towards Trustworthy Federated Learning with Untrusted Participants and Ling, Q

Reference 73

Resolution: verified exact; doi, observed 2026-08-16T04:21:00.582307Z

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.

Observation b0318781-333a-4373-83f6-769ae224c20e · outbound

This paper cites Deep leakage from gradients.

Towards Trustworthy Federated Learning with Untrusted Participants Deep leakage from gradients

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:21:01.310990Z

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.

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Reference resolution

Outbound references

Pith citing papers