Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:59:17.199038Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.02490.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:59:17.199038Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6c6b2de7-198e-482a-8459-552d8cc5ab65 · outbound
Bayesian Robust Aggregation for Federated Learning write newline
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54d88ee8-1f33-4e8d-b271-ea14015f0c00 · outbound
Bayesian Robust Aggregation for Federated Learning Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5e7a9861-9caf-4fbb-9745-c19b3c118ee1 · outbound
Bayesian Robust Aggregation for Federated Learning How To Backdoor Federated Learning
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1af5d1ca-dec5-4a64-913d-606888110893 · outbound
Bayesian Robust Aggregation for Federated Learning M., Guerraoui, R., and Stainer, J
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation abb140b6-9961-42bb-b685-438fedd777b3 · outbound
Bayesian Robust Aggregation for Federated Learning M., Kucukelbir, A., and McAuliffe, J
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b100ada-53bf-40d2-9f5f-88ff199be20f · outbound
Bayesian Robust Aggregation for Federated Learning Secureboost: A lossless federated learning framework
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 153f2b42-ada8-4a24-978b-2b0c87b64f1d · outbound
Bayesian Robust Aggregation for Federated Learning R., Zhong, A., Harouni, A., Gentili, A., Abidin, A
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 10abfbff-d7f2-49f0-b475-31c260fbcc9f · outbound
Bayesian Robust Aggregation for Federated Learning The mnist database of handwritten digit images for machine learning research [best of the web]
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 990a387f-5a16-4e11-af0b-c6df76fea247 · outbound
Bayesian Robust Aggregation for Federated Learning Unresolved cited work
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fdaf1ab2-c02d-4dd1-b1d6-0d481cef954c · outbound
Bayesian Robust Aggregation for Federated Learning and Chen, J
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fe170d9a-36d7-4995-b766-16e0d52d74eb · outbound
Bayesian Robust Aggregation for Federated Learning Variance reduction is an antidote to byzantines: Better rates, weaker assumptions and communication compression as a cherry on the top
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d31c93f9-4dc5-49a2-b183-bf799b7855cb · outbound
Bayesian Robust Aggregation for Federated Learning Deep Residual Learning for Image Recognition
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a85c292-3139-4873-b800-fa59d79e8c7b · outbound
Bayesian Robust Aggregation for Federated Learning Unresolved cited work
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 001e3666-faa9-488b-93ca-4afd13f6692e · outbound
Bayesian Robust Aggregation for Federated Learning Customized federated learning for accelerated edge computing with heterogeneous task targets
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c6999596-5bd9-49b1-bc24-f345305e855d · outbound
Bayesian Robust Aggregation for Federated Learning Adaptive robust learning using latent bernoulli variables
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6bb1b07f-ff93-4ff3-8eeb-b9e2d0075d4c · outbound
Bayesian Robust Aggregation for Federated Learning P., He, L., and Jaggi, M
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 57b707eb-a754-484f-acab-16c2962e25e4 · outbound
Bayesian Robust Aggregation for Federated Learning Learning from History for Byzantine Robust Optimization
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 64ac0383-77f5-426a-a02c-ef0140d9dbf8 · outbound
Bayesian Robust Aggregation for Federated Learning and Hinton, G
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58028145-91d8-40c7-b6c5-df402a73a279 · outbound
Bayesian Robust Aggregation for Federated Learning Gradient-based learning applied to document recognition
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ef26bf4-5bae-4418-adc2-5272707d836a · outbound
Bayesian Robust Aggregation for Federated Learning Unresolved cited work
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dec5a56-0998-4cd2-871e-fb28a9b84c9f · outbound
Bayesian Robust Aggregation for Federated Learning Unresolved cited work
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcb61459-e445-4fa7-a01c-79ada972f552 · outbound
Bayesian Robust Aggregation for Federated Learning Unresolved cited work
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 632a5a91-98e1-4360-badd-43de2d4cb86b · outbound
Bayesian Robust Aggregation for Federated Learning Pytorch: An imperative style, high-performance deep learning library
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ee4b1ec-5ba4-4449-9647-adc151a3e887 · outbound
Bayesian Robust Aggregation for Federated Learning M., and Harchaoui, Z
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96f425e6-4315-4c07-867c-2ac24fbafdce · outbound
Bayesian Robust Aggregation for Federated Learning Back to the drawing board: A critical evaluation of poisoning attacks on production federated learning
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56eb39c6-a2f9-4962-8e24-8c66c6d70dac · outbound
Bayesian Robust Aggregation for Federated Learning L., Jin, L., Liu, N., Li, S., Miao, D., Zhang, X., Ng, W
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 988c1726-9e7c-4f92-b93f-c46f34c18145 · outbound
Bayesian Robust Aggregation for Federated Learning Privacy preservation in federated learning: An insightful survey from the gdpr perspective
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 93efd008-b292-4f7c-9bee-cb3d952d969f · outbound
Bayesian Robust Aggregation for Federated Learning Federated Learning Priorities Under the European Union Artificial Intelligence Act
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d9362f5-ab9f-4616-b86e-7465f9b61706 · outbound
Bayesian Robust Aggregation for Federated Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5838223-3dfa-41e6-8bd5-5b9407139665 · outbound
Bayesian Robust Aggregation for Federated Learning Edgefed: Optimized federated learning based on edge computing
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 82bdf495-3bab-441f-8601-135519d26265 · outbound
Bayesian Robust Aggregation for Federated Learning Byzantine-robust distributed learning: Towards optimal statistical rates
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b6c4b115-4b46-4e82-b721-893bacadff0c · outbound
Bayesian Robust Aggregation for Federated Learning A3FL : Adversarially Adaptive Backdoor Attacks to Federated Learning
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3610068c-0776-4751-944a-278bb73b3642 · outbound
Bayesian Robust Aggregation for Federated Learning FLIP : A Provable Defense Framework for Backdoor Mitigation in Federated Learning , February 2023 b
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
No inbound Pith citation observations are available.