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Paper Citation Record · LEDGER

FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2012.13995.

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

pith.paper-citation-record.v1
2012.13995 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:37.476723Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

35
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a615ca3d-92d7-4568-bfb4-ba15b1b8fa7e · inbound

How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution cites this paper.

How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 18

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source=pdf_text observed=2026-08-12T19:32:26.492351Z digest=sha256:4ddb4cadbc25954ac248880970e94ef6f7bcaccb0fa89b4244288ea3450cb1c6

Observation db691f2f-b5aa-4840-89b2-38ad5dbc2bb1 · inbound

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning cites this paper.

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 5

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arxiv_id, observed 2026-05-23T17:58:17.123597Z

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source=pdf_text observed=2026-05-23T17:57:17.355234Z digest=sha256:6f5fbbec0ed30b170b4b2525cd0bf49c1c831b745bd5861b526a4d1d0d9bdc0a

Observation 2921db73-baa6-42c6-b5e6-99c2f1557d9c · inbound

Client-Side Patching against Backdoor Attacks in Federated Learning cites this paper.

Client-Side Patching against Backdoor Attacks in Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 33

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source=pdf_text observed=2026-08-11T15:51:51.464270Z digest=sha256:824a885a0bb3e87b087d63c0c8c7cb7b1ddac7111e37c6e11d5a93e6ce1e3baf

Observation 75a9b6ad-244a-4a80-bc2f-ac358a68f286 · inbound

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs cites this paper.

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 1

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source=pdf_text observed=2026-08-10T20:58:38.928626Z digest=sha256:ccaaa18f3e9da5ab83a363da25554935c788bf770903b764ed450ce093011c7a

Observation a630f0ef-029d-4541-bafd-808be1f527df · inbound

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards cites this paper.

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 3

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source=pdf_text observed=2026-08-10T20:44:32.953310Z digest=sha256:0f7ede75d15d0c9c7f862368687600ff6833df32698a7cbb99d7fe18809f07d2

Observation 0eef612c-f66a-4eb6-be63-81c019c063a8 · inbound

Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks cites this paper.

Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 4

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source=pdf_text observed=2026-08-09T18:29:13.725944Z digest=sha256:777344ae919c2021bfa1b0798b38485db023f6b9aa949974be31388e0acb2934

Observation f450e2d8-0272-4cce-9663-eec143572ac3 · inbound

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning cites this paper.

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 14

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source=pdf_text observed=2026-08-09T13:39:53.189793Z digest=sha256:58f59beb42c6f345543a08e878deec6e09cb4833949b32eb37a546c8aac8e0ef

Observation b956c1d8-c80b-4af5-ac7f-0a76da09f7e7 · inbound

Interaction-Aware Gaussian Weighting for Clustered Federated Learning cites this paper.

Interaction-Aware Gaussian Weighting for Clustered Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 2018

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source=pdf_text observed=2026-08-09T05:10:22.035691Z digest=sha256:a4816d31e1a3a6949128d6c725730a33a2441ce839bece8ce128df6681e0a4da

Observation b7b81a7c-30f4-4602-904a-b29924c08e4e · inbound

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning cites this paper.

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 8

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source=pdf_text observed=2026-08-09T00:45:23.177668Z digest=sha256:f1cfcc9ce2dd42872ab24ebd0202896ebea5a95345fa7f6a0b5e697cdcede66a

Observation 3aa4edd7-4a71-47e3-b1e9-f2745b864bc8 · inbound

TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data cites this paper.

TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 4

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source=pdf_text observed=2026-08-16T11:24:37.476723Z digest=sha256:849ec2402985c066d2e1d4b12106bc7177c9edfb4a579ab71bd42b7e5672a8a3

Observation 18a2b53e-abff-4f02-a7d8-442ea81372d0 · inbound

FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix cites this paper.

FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 7

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source=pdf_text observed=2026-08-07T15:43:19.169271Z digest=sha256:f5f52ece21d15efba86c6dfb86642af97b948a1c2b939d291b7e5e4b6e7f1baf

Observation e5309fc7-2dc3-4981-9b50-2d2ae188394a · inbound

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach cites this paper.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 16

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source=pdf_text observed=2026-08-07T15:06:52.401001Z digest=sha256:e5c505579ba3bfdb7139da883c58b64970555b9628704b4474ad37108055d437

Observation ade46f66-f0af-4bb8-97ea-344f18eafbec · inbound

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning cites this paper.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 8

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source=pdf_text observed=2026-08-07T13:02:18.285608Z digest=sha256:80a0e8ffd021e6b2afb51dafc319bb2fe6ef364f46e2954ed4e940efc6eb8ad3

Observation e3b8f8b1-4ae2-4511-9162-1d6d695faeb0 · inbound

A Weighted Loss Approach to Robust Federated Learning under Data Heterogeneity cites this paper.

A Weighted Loss Approach to Robust Federated Learning under Data Heterogeneity FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 900

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source=pdf_text observed=2026-08-07T04:48:54.297178Z digest=sha256:48d5ffa82a905effec794c0d7036af123d2f6c874965cc6bd66edf3160fd41a6

Observation 5b5d514f-c721-4336-9ce5-9cdea3b34748 · inbound

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning cites this paper.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:42.653133Z digest=sha256:4e83ecd9cbea23e49f00db8cd93e73f57c5ea9ff8aeac384647c13a2843c4b35

Observation a351f5eb-fbf8-497b-90b5-3252e75e04d3 · inbound

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning cites this paper.

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:31:57.687863Z digest=sha256:5d9dc0b762a34feaf2e24971b7b77f53e183a1d93b1c4a7c32c8128b3b5963b1

Observation 8fa454e2-0f20-49a7-a4f0-acde1b8b3497 · inbound

Fluid Democracy in Federated Data Aggregation cites this paper.

Fluid Democracy in Federated Data Aggregation FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 7

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source=arxiv_source observed=2026-08-06T20:37:47.504017Z digest=sha256:f5208925d3ca12237b9ee39b9b6839906c1884de575e9cd0022a72cc780c085a

Observation b118bf23-2d43-4c01-a596-4b30ff8e0418 · inbound

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning cites this paper.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 10

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source=pdf_text observed=2026-08-06T16:51:28.612719Z digest=sha256:3a0f42340884867fdbd0bb011bbf434bd6246595d3c11839ad2c0cd5a14259a1

Observation e83e7d6c-d282-4402-b951-282df4fb972c · inbound

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT cites this paper.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 21

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arxiv_id, observed 2026-05-19T04:02:01.667461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T04:00:11.960746Z digest=sha256:6ee10072068c8b75f2e1627c592e2e8914a2dc8bfddc324149f9268d52e2c9d8

Observation 35e62619-b54d-4154-a362-5de5c403fa40 · inbound

FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning cites this paper.

FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:04:58.839894Z digest=sha256:29f4eb17461b1e363725e95897212983ff4a1e4ece87489ec00aa00ed4fab134

Observation 6875b52e-9d65-468f-9da9-5235e344bc70 · 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 FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 2018

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source=pdf_text observed=2026-08-06T05:33:36.954080Z digest=sha256:f0d1094bb9203680d310cfae7b309ac858e46f003017901e370a9f3e8d79f1fb

Observation 45f3db0d-9d78-4ccb-b0e2-b52e067cc78b · inbound

Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations cites this paper.

Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:39:21.892474Z digest=sha256:8026eafc63fe64ca45687ee31cd399a1918005b6d4b8a94271b25f423b1b16e0

Observation 649e35cc-74b8-4ddf-9d5b-969dc668ce5c · inbound

Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering cites this paper.

Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 5

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arxiv_id, observed 2026-05-18T23:06:53.304556Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T23:03:43.500503Z digest=sha256:d04d3af6a617cc3c0e38865cecb03e26e39ab5b21b1cddd2096046f581ec73a7

Observation df035233-80b3-4caf-ba5c-ef7265ec1f94 · inbound

DOPA: Stealthy and Generalizable Backdoor Attacks from a Single Client under Challenging Federated Constraints cites this paper.

DOPA: Stealthy and Generalizable Backdoor Attacks from a Single Client under Challenging Federated Constraints FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 3

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source=arxiv_source observed=2026-08-05T18:31:56.524132Z digest=sha256:8b9a3c61225869cc40954115aa21df3c1d995f6f730cccf57bc2c9afde6e4aa0

Observation c63f17c6-d1d5-4cf6-9f30-c10840d93f8b · inbound

FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning cites this paper.

FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 15

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source=pdf_text observed=2026-08-05T16:41:11.334303Z digest=sha256:240cee031ef223270d5964b74fb94a8a5fee6ee35a90f59e7a3d2e7b183edb7d

Observation bbf413fc-ed2e-4818-8584-667e88063656 · 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 FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 29

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source=pdf_text observed=2026-08-05T16:20:23.330213Z digest=sha256:f1880eb495498656d9b12b99d39817fe3cb972da7473e227610c0e0b46b5eec7

Observation 1a3d9f85-e2d3-470e-a7ca-672426a01635 · inbound

FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning cites this paper.

FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 66

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arxiv_id, observed 2026-05-17T20:10:10.958122Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T20:08:21.578954Z digest=sha256:6411beca402e752a16cebea27ee4abebae3156618da266d14c2144aec095bf0a

Observation 3efdbad0-4901-45f2-a955-2fd743209ac9 · inbound

Beyond Corner Patches: Semantics-Aware Backdoor Attack in Federated Learning cites this paper.

Beyond Corner Patches: Semantics-Aware Backdoor Attack in Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 35

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arxiv_id, observed 2026-05-14T00:28:30.108404Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T00:24:22.292451Z digest=sha256:4090b5d6a82725e7efb821ba03844d9204f55cdbcf3ceb07dfc030612ab3ace8

Observation c94c8c1a-1bcd-403e-b521-f18fc7d03230 · inbound

AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning cites this paper.

AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 8

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arxiv_id, observed 2026-05-12T09:36:26.304592Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T10:26:19.049908Z digest=sha256:86954fd750256644ab827aeeab8c14266d4c13ec752f1c435ce8ba8fa3d5d940

Observation 87a979dd-1f2f-469a-97d1-fbebff012ccf · inbound

When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI cites this paper.

When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 72

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arxiv_id, observed 2026-05-12T10:46:31.606965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T02:12:30.086152Z digest=sha256:db2083a20618f2c1d69108b73986e5bc0fb3c1644c201027e54296b331067f31

Observation 896f43bf-dab1-4cad-a716-d2a68074e151 · inbound

When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI cites this paper.

When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 72

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arxiv_id, observed 2026-05-09T06:55:44.552220Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T17:56:09.884837Z digest=sha256:5d9d7e19fdfb1d0941b7b55e51d43e58e1372d3e7c0fb70240e3f00a47d18588

Observation d58c0472-c24d-44f5-a321-b5ae0482c435 · inbound

Robust Server Defense Against Unreliable Clients in One-Shot Fair Collaborative Machine Learning cites this paper.

Robust Server Defense Against Unreliable Clients in One-Shot Fair Collaborative Machine Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 26

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arxiv_id, observed 2026-05-12T08:36:27.108624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T00:52:25.736799Z digest=sha256:e1d6172c26b2e9f41f17836b65a5b829eb50ff77577d73b227f3c33bb1156cea

Observation b50bbde0-2e97-49ce-ab77-8c1a271013f8 · inbound

FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement cites this paper.

FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 3

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arxiv_id, observed 2026-05-13T02:37:07.903003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T02:35:09.630421Z digest=sha256:e077e4a3f26f75e9a044b3312cf1577c715acba060025546bc808acf3369c41a

Observation 0b5f2a61-5728-4b5f-978d-38625adcc879 · inbound

BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation cites this paper.

BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 6

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arxiv_id, observed 2026-05-20T14:28:21.171848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-20T14:27:28.152992Z digest=sha256:e87f675bcd742669425125e38309d1a50449b6dc4901903da266eaeef4d772a4

Observation 71df792f-9c3f-43b8-a566-aa4440032010 · inbound

When AI Meets Wall Street: A Survey on Trustworthy AI in Fintech cites this paper.

When AI Meets Wall Street: A Survey on Trustworthy AI in Fintech FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:43:31.540832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T06:17:07.660975Z digest=sha256:0390837328c41df84d494a865f3f0361bdb37e9d3e43cf7a4fef86dae4f25e87

Observation bbd2db44-cb9c-4fad-ac93-e019ec3452d8 · inbound

SCRUB-FL: Sanitizing and Cleansing Representations via Unlearning of Backdoors cites this paper.

SCRUB-FL: Sanitizing and Cleansing Representations via Unlearning of Backdoors FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:09:43.726674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T10:22:28.671574Z digest=sha256:cbe2dd3f2a86e26e1d8017a1468a3299ae3295cafa58110b12b78e846e79e239

Observation 4c799fbf-fe2f-4ebb-b7e3-cefec2428fa4 · inbound

FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks cites this paper.

FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:06:02.940869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T01:08:48.835080Z digest=sha256:c6753aa2fb95c7614b050097d4d77122145f895f9f43395aef2f443962a1979f

Observation 236bb444-cf2c-46ec-8478-105157650cee · inbound

Secure-CHG: A Comprehensive Framework for Robust and Fair Federated Learning via Hybrid Defense and Contribution-Aware Trust cites this paper.

Secure-CHG: A Comprehensive Framework for Robust and Fair Federated Learning via Hybrid Defense and Contribution-Aware Trust FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T05:55:25.314578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T05:53:26.263995Z digest=sha256:ed63c89e3daddb77ebc905c02ec4a32c420963bd3712e75b17bf7a08c741179d

Observation 934c3014-3487-4814-95c8-f26d6e45a879 · inbound

SoK: Federated Learning for Intrusion Detection in Vehicular Networks cites this paper.

SoK: Federated Learning for Intrusion Detection in Vehicular Networks FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-14T08:20:27.345797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:20:27.345797Z digest=sha256:b2661557958b6ca02a05d756459629377477a388592064284c6533293f2c3c44

Observation 85c6ddae-5213-4720-985a-2dfd8db1998d · inbound

Integrity of peer-to-peer distributed LLM inference under malicious nodes cites this paper.

Integrity of peer-to-peer distributed LLM inference under malicious nodes FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T12:42:13.809417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:42:13.809417Z digest=sha256:bae590d60780f707d4f0e1026431daf2fca7875b1c2914c810c05220d8b91e5c

Observation e850bce5-1b06-4266-ab93-90e8c89da9fb · inbound

TOFD: Target-Oriented Feature Decoupling against Poisoning Attacks in Split Federated Learning cites this paper.

TOFD: Target-Oriented Feature Decoupling against Poisoning Attacks in Split Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T11:20:22.558479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:20:22.558479Z digest=sha256:8608a7bc3b8e776590af599cc5f8ffecc707e71100945278242c3aac0827fb57

Observation 118ab531-29f2-48c8-8b95-8eda0f85d537 · inbound

Beyond Parameter Space: NTK-Guided Personalized Aggregation for Robust Federated Learning cites this paper.

Beyond Parameter Space: NTK-Guided Personalized Aggregation for Robust Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T00:20:47.929071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:20:47.929071Z digest=sha256:c5a8e01fa6b7807f94ed2f59c2f5c13838cba1ac7dd92fc818cebb6e60e79966