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Paper Citation Record · LEDGER

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2509.09534.

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

pith.paper-citation-record.v1
2509.09534 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:59:48.229923Z

measured 35 of 35 standing notices

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation 93d29e1d-5203-4d41-8044-6047194cac74 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentral- ized Data,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Communication-Efficient Learning of Deep Networks from Decentral- ized Data,

Reference 1

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Observation 635b0bbe-8683-4678-a1ce-52a6b13f3277 · outbound

This paper cites Advances and open problems in federated learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Advances and open problems in federated learning,

Reference 2

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Observation 97749618-7d4f-4674-910f-4abba780cfd8 · outbound

This paper cites Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges,

Reference 3

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Observation b45d609a-f6e1-4d44-941e-a378dc981d4b · outbound

This paper cites Heterogeneous federated learning: State-of-the-art and research challenges,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Heterogeneous federated learning: State-of-the-art and research challenges,

Reference 4

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Observation 5bccc6ca-6f82-4786-aeed-f273dee8d3a5 · outbound

This paper cites The byzantine generals prob- lem,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning The byzantine generals prob- lem,

Reference 5

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Observation 4f0bf615-9626-43c0-b20b-c49095690d9b · outbound

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

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 6

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Observation 8158da77-6e8f-498e-a597-def10eb0f511 · outbound

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

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Byzantine-robust dis- tributed learning: Towards optimal statistical rates,

Reference 7

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Observation 4cc03cef-461a-4bb8-9f4d-53c94ba08885 · outbound

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

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,

Reference 8

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Observation cb8436b6-9837-4268-b903-ed985233cea2 · outbound

This paper cites Robust aggregation for federated learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Robust aggregation for federated learning,

Reference 9

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Observation 4f561f3a-7716-4a55-a633-927b8e1356b2 · outbound

This paper cites Learning from history for byzantine robust optimization,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Learning from history for byzantine robust optimization,

Reference 10

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Observation 6bd5b8b1-0f08-4f8e-b712-7c84a49bfb5c · outbound

This paper cites The hidden vulnera- bility of distributed learning in byzantium,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning The hidden vulnera- bility of distributed learning in byzantium,

Reference 11

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Observation 4a9b1aff-8d8f-4906-8dc4-c60b6e8af0cf · outbound

This paper cites Faba: An algorithm for fast aggregation against byzantine attacks in distributed neural networks,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Faba: An algorithm for fast aggregation against byzantine attacks in distributed neural networks,

Reference 12

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Observation c6a9624f-ea58-42b0-a38a-e8235c52d79d · outbound

This paper cites Understanding distributed poisoning attack in federated learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Understanding distributed poisoning attack in federated learning,

Reference 13

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Observation f1aea167-2ece-46d7-8067-e19d6d2c23e1 · outbound

This paper cites Byzantine-robust federated learning through spatial-temporal analysis of local model updates,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Byzantine-robust federated learning through spatial-temporal analysis of local model updates,

Reference 14

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Observation ea1e547a-1cf6-43fe-8bb7-562d3928c982 · outbound

This paper cites On the byzantine robustness of clustered federated learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning On the byzantine robustness of clustered federated learning,

Reference 15

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Observation bc437b0c-9e2a-4f3a-90d5-e7e7d72df3d7 · outbound

This paper cites An experimental study of byzantine- robust aggregation schemes in federated learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning An experimental study of byzantine- robust aggregation schemes in federated learning,

Reference 16

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Observation 3dfb91f8-b5b9-4197-aec9-460e8c9fc5ca · outbound

This paper cites Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance,

Reference 17

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Observation 81cf7288-6e81-4940-a366-c624b9c8ead2 · outbound

This paper cites Fltrust: Byzantine-robust federated learning via trust bootstrapping,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Fltrust: Byzantine-robust federated learning via trust bootstrapping,

Reference 18

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Observation 4c7253ad-aabb-47e7-9fe8-7c0f060d603e · outbound

This paper cites Fedgt: Identification of malicious clients in federated learning with secure aggregation,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Fedgt: Identification of malicious clients in federated learning with secure aggregation,

Reference 19

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Observation 3ff916cd-f595-419e-b3c7-94671dada584 · outbound

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

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity,

Reference 20

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Observation 7971d503-701d-4c2c-bb92-5c193d882c46 · outbound

This paper cites Byzantine-robust learning on heterogeneous datasets via bucketing,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Byzantine-robust learning on heterogeneous datasets via bucketing,

Reference 21

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Observation 8092c607-9f49-4cad-8d4a-b242ccf6c92a · outbound

This paper cites Distributed momentum for byzantine-resilient stochastic gradient descent,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Distributed momentum for byzantine-resilient stochastic gradient descent,

Reference 22

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Observation 8966dfcf-d88f-48e2-8d12-0d16c6b07b49 · outbound

This paper cites A little is enough: Circumvent- ing defenses for distributed learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning A little is enough: Circumvent- ing defenses for distributed learning,

Reference 23

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Observation bb46a260-09c4-4b4c-b49e-a94be97b978f · outbound

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

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Fall of empires: Breaking byzantine- tolerant sgd by inner product manipulation,

Reference 24

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Observation fbe6d0f9-19ff-43ab-9e1b-771c4997cad7 · outbound

This paper cites Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning ,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning ,

Reference 25

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Observation bf2f4c20-35fc-47a1-8341-43423989f62a · outbound

This paper cites The sybil attack,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning The sybil attack,

Reference 26

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Observation 4a94c6ea-2422-41d3-a72e-eacf9fb64fba · outbound

This paper cites Mitigating Sybils in Federated Learning Poisoning.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 27

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Observation ee25cb69-a873-43a7-8c41-12bf7a2937d1 · outbound

This paper cites Federated optimization in heterogeneous networks,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Federated optimization in heterogeneous networks,

Reference 28

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Observation 9d675746-072d-4b78-81ef-3f1f40e05320 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Scaffold: Stochastic controlled averaging for federated learning,

Reference 29

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Observation 3b8c6507-84f4-4e1d-810c-3864949bdf23 · outbound

This paper cites Learning multiple layers of features from tiny images,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Learning multiple layers of features from tiny images,

Reference 30

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Observation 5f823f68-bd07-4737-abe6-1aff69f0c920 · outbound

This paper cites Leaf: A benchmark for federated settings,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Leaf: A benchmark for federated settings,

Reference 31

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Observation 7295f497-2516-4d5f-a850-6339475a2a94 · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Ensemble distillation for robust model fusion in federated learning,

Reference 32

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Observation 1afe9ce8-7ed5-42dd-937f-a7c73b408c6e · outbound

This paper cites Adaptive gradient clipping for robust federated learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Adaptive gradient clipping for robust federated learning,

Reference 33

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Observation 93a1acaf-7a17-4434-9742-f1e7af0ad24d · outbound

This paper cites Byzantine- resilient non-convex stochastic gradient descent,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Byzantine- resilient non-convex stochastic gradient descent,

Reference 34

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Observation aaa4d25c-232c-4179-864b-516a05e78603 · outbound

This paper cites Manipulating the byzantine: Op- timizing model poisoning attacks and defenses for federated learning,.

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning Manipulating the byzantine: Op- timizing model poisoning attacks and defenses for federated learning,

Reference 35

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