Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization | Paper Citation Record

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This paper cites Bagdasaryan, A.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Bagdasaryan, A

Reference 1

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Observation 26f9c4ca-69cb-4553-9979-a5dcfe3b647d · outbound

This paper cites Bailo, A.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Bailo, A

Reference 2

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This paper cites Barbieri, S.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Barbieri, S

Reference 3

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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This paper cites Biggio, I.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Biggio, I

Reference 7

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This paper cites Biggio, B.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Biggio, B

Reference 8

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Observation cedb073b-7b52-4bbe-b073-c3164d499f6a · outbound

This paper cites Blanchard, E.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Blanchard, E

Reference 9

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This paper cites Cao and N.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Cao and N

Reference 10

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 14

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 16

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This paper cites Cohen, S.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Cohen, S

Reference 17

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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This paper cites Dorigo and C.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Dorigo and C

Reference 19

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 21

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This paper cites Fornasier, T.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Fornasier, T

Reference 22

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This paper cites Fornasier, T.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Fornasier, T

Reference 23

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Fraboni, R

Reference 24

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 25

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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This paper cites CB$^2$O: Consensus-Based Bi-Level Optimization.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization CB$^2$O: Consensus-Based Bi-Level Optimization

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Geiping, H

Reference 28

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This paper cites Ghosh, J.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Ghosh, J

Reference 29

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 30

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This paper cites Grassi, H.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Grassi, H

Reference 31

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Hallaji, R

Reference 32

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This paper cites Hallaji, R.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Hallaji, R

Reference 33

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Huang, J

Reference 35

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 37

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 38

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This paper cites Jiang, W.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Jiang, W

Reference 39

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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This paper cites Kairouz, H.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Kairouz, H

Reference 41

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This paper cites SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning

Reference 42

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

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This paper cites Kasneci, K.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Kasneci, K

Reference 44

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Observation 92aa3ce8-baaa-452c-b787-c9a30ab0f0c6 · outbound

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 45

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This paper cites Kennedy and R.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Kennedy and R

Reference 46

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Observation ccc12ca6-3400-4f91-8879-ce968f5abeab · outbound

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 48

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This paper cites Kovalev, A.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Kovalev, A

Reference 49

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Observation 89b59f24-4038-4285-b31a-843a3a4b694a · outbound

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 50

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Observation 66d13f17-dab8-4f0a-968e-4ca6998e031f · outbound

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 51

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Observation f3dd6d91-6a5a-4931-807d-517c69b7ffc5 · outbound

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 52

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Observation 6ca9cfa8-3873-4579-a3fe-58c5ff97caca · outbound

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 53

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Observation 21ce4323-7c8f-493f-ba49-8a244ce22483 · outbound

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 54

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Observation a8b76197-fcae-4013-9429-93fc44d7c613 · outbound

This paper cites On the Convergence of Clustered Federated Learning.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization On the Convergence of Clustered Federated Learning

Reference 55

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Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization McMahan, E

Reference 56

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Observation 4ac59fa0-da3c-442b-a6dd-5d51d1744c04 · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:32.608363Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 923d1354-a9f3-4a3b-8d14-2ccb3642255c · outbound

This paper cites Nguyen, T.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Nguyen, T

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:32.558243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5ac8adfb-4c66-4c62-9bbb-8ae171f20b5b · outbound

This paper cites Decentralized federated learning of deep neural networks on non-iid data.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Decentralized federated learning of deep neural networks on non-iid data

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:28.074933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52da78ee-18d7-4805-9eb0-38539ce6ad6b · outbound

This paper cites Park, D.-J.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Park, D.-J

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:32.464448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c69a464a-5d87-4dc5-8f8e-ba388f749606 · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:32.413156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eda10629-98fe-465a-8d22-cc78ed962bfc · outbound

This paper cites Pillutla, S.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Pillutla, S

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:28.136339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b149d2-f32c-42e4-960e-46c8e1acbc10 · outbound

This paper cites Pinnau, C.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Pinnau, C

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:28.184760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation badc6fff-b404-4e51-a5d7-6f772d333454 · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:32.363052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6faf4d14-5048-41d9-b275-9095993d2c54 · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:32.334774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a57da32-1d91-4185-bf95-c7b04c9130ba · outbound

This paper cites Riedl, T.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Riedl, T

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:28.273124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9716455-609d-415f-8c3a-b0ab0f30d7db · outbound

This paper cites Riedl, T.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Riedl, T

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:32.290931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 49c21450-34f3-4baf-bc0e-a7452a877c05 · outbound

This paper cites Rodr ´ ıguez-Barroso, D.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Rodr ´ ıguez-Barroso, D

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:32.267021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb536513-c074-4113-b79a-ffd1d4f14888 · outbound

This paper cites Ruan and C.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Ruan and C

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:32.213412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 49081c4d-ccf6-4a4b-be16-302993548aec · outbound

This paper cites Sattler, K.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Sattler, K

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:32.187538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 52938a2d-ecf2-4f31-b8f3-03f4c89181fd · outbound

This paper cites Swarm Learning: A Survey of Concepts, Applications, and Trends.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Swarm Learning: A Survey of Concepts, Applications, and Trends

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:28.424763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ec64196-30dd-4604-8a69-e5afc27d6a54 · outbound

This paper cites Shejwalkar and A.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Shejwalkar and A

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:32.160626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5d9e6a56-4299-47d2-9709-49a3afc163ab · outbound

This paper cites Shumailov, Z.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Shumailov, Z

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:32.126034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5d71056-9846-4c3d-a9d8-0f99111ab44e · outbound

This paper cites Steinhardt, P.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Steinhardt, P

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:32.070534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fe1539e3-024b-40a0-9e4c-c0e3c74bc317 · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:31.985957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 69c14589-4c33-4fb1-9645-8d563906be5e · outbound

This paper cites Can You Really Backdoor Federated Learning?.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Can You Really Backdoor Federated Learning?

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:28.595716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a01dbca2-7c26-462b-9da7-09665daa6bda · outbound

This paper cites Szegedy, W.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Szegedy, W

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:31.825091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fae58d6e-1a53-408f-91c4-159bb133c4ff · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:31.706515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7200494-410c-4027-8cbb-c9db630e43be · outbound

This paper cites Tolpegin, S.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Tolpegin, S

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:31.602485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9187c5e1-f194-4661-80e9-0d67156afc0b · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:31.473567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b30e7779-1425-41f0-a92a-0e867afc131d · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:31.354752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b7afeba7-749c-4541-9ecb-8e44edfb411a · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:31.217479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 949c8983-00a5-45da-8b86-a3b8a0d18b71 · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:31.087144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 16f215a8-da84-46ee-9858-266ef1ac07d7 · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:31.004882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 478f87ef-9948-46af-9222-eb68059a90b6 · outbound

This paper cites an unresolved cited work.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:30.881443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9247c66e-fec2-4342-a024-300ac9b35c47 · outbound

This paper cites Zhang, B.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Zhang, B

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:30.767716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b2cbc89b-9798-4818-a18d-1825f44c2b50 · outbound

This paper cites Zhang, J.

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization Zhang, J

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:30.624854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers