Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Detect Malicious Clients for Robust Federated Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2002.00211.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:34:41.771190Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T23:13:37.023261Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation bd39de33-7b71-448b-9cd6-fa4b644d3007 · inbound
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning cites this paper.
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Learning to Detect Malicious Clients for Robust Federated Learning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T23:13:37.026029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9af8c66f-9d6a-43fa-a9dc-69ac640f999c · inbound
FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning cites this paper.
FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Learning to Detect Malicious Clients for Robust Federated Learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:34:41.771190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aa0e0bc-7a58-46fc-915d-74a6eee969fd · inbound
Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism cites this paper.
Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism Learning to Detect Malicious Clients for Robust Federated Learning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:33:58.345141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e938a50-8864-4d08-abe0-d21e15c32c74 · inbound
Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning cites this paper.
Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Learning to Detect Malicious Clients for Robust Federated Learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:57:50.369406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 513c7ee6-8043-4b46-b612-021a5c621aae · inbound
Decoding FL Defenses: Systemization, Pitfalls, and Remedies cites this paper.
Decoding FL Defenses: Systemization, Pitfalls, and Remedies Learning to Detect Malicious Clients for Robust Federated Learning
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:12:23.240837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60fad88a-e755-47fc-8599-b6fc0005eb77 · inbound
Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer cites this paper.
Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Learning to Detect Malicious Clients for Robust Federated Learning
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:33:40.068366Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bdafc3c-fe5c-4bc3-9770-019cd40190f2 · inbound
FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks cites this paper.
FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks Learning to Detect Malicious Clients for Robust Federated Learning
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:20:23.334034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f37acc8-4b67-4fae-8c2c-f64b28fa6bd1 · inbound
Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats cites this paper.
Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats Learning to Detect Malicious Clients for Robust Federated Learning
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:28:47.141282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb8813a6-ddb6-4e23-979f-87b8378bd672 · inbound
DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning cites this paper.
DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning Learning to Detect Malicious Clients for Robust Federated Learning
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:38:37.945553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.