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Paper Citation Record · LEDGER

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning

As of 12 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2501.12123.

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

pith.paper-citation-record.v1
2501.12123 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:34:41.963520Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact3
  • verified fuzzy40
  • unresolved22
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1af5e70-5ced-4c17-8a49-c6d6404d03c4 · outbound

This paper cites Federated learning for diabetic retinopathy detection 14 FL-CLEANER: byzantine and backdoor defense in Non-iid federated learning in a multi-center fundus screening network.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Federated learning for diabetic retinopathy detection 14 FL-CLEANER: byzantine and backdoor defense in Non-iid federated learning in a multi-center fundus screening network

Reference 1

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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.

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Observation d74b1494-a12e-41f5-9f3d-ba538b3aa7ef · outbound

This paper cites Emerging trends in federated learning: From model fusion to federated x learning.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Emerging trends in federated learning: From model fusion to federated x learning

Reference 2

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verified fuzzy
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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.

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Observation 6bcfd712-662d-4ec2-ae85-05cd4b04975f · outbound

This paper cites Federated learning for medical image analysis: A survey.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Federated learning for medical image analysis: A survey

Reference 3

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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.

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Observation e88b9741-2207-4514-a8c8-6feb71ca8c00 · outbound

This paper cites When federated learning meets watermarking: A comprehensive overview of techniques for intellectual property protection.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning When federated learning meets watermarking: A comprehensive overview of techniques for intellectual property protection

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.865723Z

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.

source=pdf_text observed=2026-08-10T17:34:41.673519Z digest=sha256:abe3b4672099f681b829dfd06bfe7a3947c9fe938f06f75948c3ee65383a1d04

Observation 9b540afb-e2c1-4fe5-b6fd-7d775b935b83 · outbound

This paper cites Federated learning for mobile keyboard prediction, 2018.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Federated learning for mobile keyboard prediction, 2018

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.851031Z

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.

source=pdf_text observed=2026-08-10T17:34:41.678040Z digest=sha256:c4c3efdf7e78815fb8ffe360fb31cc8aa2e3572bf326b9f73db3fc4d8b9616a8

Observation b754c0cb-65f2-43cd-9116-3910068ec7a9 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 92f634fc-951c-423b-903c-c5952586c5d6 · outbound

This paper cites Poisoning attacks in federated learning: A survey.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Poisoning attacks in federated learning: A survey

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.836483Z

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.

source=pdf_text observed=2026-08-10T17:34:41.689534Z digest=sha256:9bc4a1a6cb15c9e531551234996a25e338b3bdca2b94ca0b146211d54520bb71

Observation 07eacb2b-f710-40c1-8393-8866aa0ff705 · outbound

This paper cites Communication- efficient learning of deep networks from decentralized data.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Communication- efficient learning of deep networks from decentralized data

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.694326Z digest=sha256:8a15bfaa138f201ac249ebb6fcb109ac52175e0632fec67c983ed80e42177bb3

Observation 2114657d-42a8-46e5-ba1b-0a8582d910bf · outbound

This paper cites Byzantine-Tolerant Machine Learning.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Byzantine-Tolerant Machine Learning

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T17:34:41.699167Z digest=sha256:8133f1ef0420fbf59da5d4f83b2481514eab1d64cf8dfea33ee6eb32f9d405df

Observation 6e037274-0fbe-49c1-a892-238a298c5041 · outbound

This paper cites The hidden vulnerability of distributed learning in byzantium.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning The hidden vulnerability of distributed learning in byzantium

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.811895Z

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.

source=pdf_text observed=2026-08-10T17:34:41.704480Z digest=sha256:5bc584661f2dcb1d795e6dd4e8a8a0e1f36705f3a7dd5a611efe5734c586fded

Observation bad1819b-7088-44e7-8f4d-d48d99bce0de · outbound

This paper cites Federated learning attacks and defenses: A survey, 2022.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Federated learning attacks and defenses: A survey, 2022

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.795058Z

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.

source=pdf_text observed=2026-08-10T17:34:41.709726Z digest=sha256:c8915c23765b16a0b032749931d44f08a421eae4f5189a6645e1d8d128ddf2bd

Observation 040ac5d7-bb2e-4247-b0b7-6e55b2f05c5f · outbound

This paper cites Detecting malicious model updates from federated learning on conditional variational autoencoder.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Detecting malicious model updates from federated learning on conditional variational autoencoder

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.780055Z

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.

source=pdf_text observed=2026-08-10T17:34:41.714920Z digest=sha256:425e3442d95744f71950270e7f91a03005deb1dfb9339c8bf34d14f96f88d24b

Observation 8d53d37f-9047-473d-a5b9-345952e2ae1c · outbound

This paper cites Fedguard: Selective parameter aggregation for poisoning attack mitigation in federated learning.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Fedguard: Selective parameter aggregation for poisoning attack mitigation in federated learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.765370Z

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.

source=pdf_text observed=2026-08-10T17:34:41.719963Z digest=sha256:d1ceef4bce19633014d03f209cfdce34fcdf0aeb7d8f4b56ec0ebd3b27996f27

Observation 6aafa34a-3d3a-43f1-9988-82a8d4423e10 · outbound

This paper cites FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:34:42.165043Z

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.

source=pdf_text observed=2026-08-10T17:34:41.724989Z digest=sha256:7a371bf7650ddb6a8b41d6938300d26b1828b85f76f723e85195b540fc2a6461

Observation 07b22234-bf88-4cb2-9f01-6fbf1648fe42 · outbound

This paper cites DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 92cdbb6c-fb2f-4c22-b5a4-48e0de7439ee · outbound

This paper cites FedCAM - Identifying Malicious Models in Federated Learning Environments Conditionally to Their Activation Maps.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning FedCAM - Identifying Malicious Models in Federated Learning Environments Conditionally to Their Activation Maps

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.750473Z

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.

source=pdf_text observed=2026-08-10T17:34:41.736488Z digest=sha256:7917f01e7c3a3d99a7ea308c67eef013f7d6eedc7efecb00181a9a90bc50ea73

Observation 45ee7c0a-ecfb-49fc-b5fa-a49273949800 · outbound

This paper cites Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

Reference 17

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verified exact
local_arxiv, observed 2026-08-10T17:34:42.128964Z

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.

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Observation cfc39f9f-7608-4842-b060-fca6af12430c · outbound

This paper cites Network- level adversaries in federated learning, 2022.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Network- level adversaries in federated learning, 2022

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.735551Z

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.

source=pdf_text observed=2026-08-10T17:34:41.747445Z digest=sha256:beedc96de684ec5f1c90fc8f2c039d132078b10998825581550bbcdf1e68b64d

Observation 6b111927-7ddb-462c-aa51-09368a92f907 · outbound

This paper cites Federated optimization in heterogeneous networks.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Federated optimization in heterogeneous networks

Reference 19

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no resolver link, observed 2026-08-10T17:34:41.751975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.751975Z digest=sha256:664035f1870ee44bc16bfc4f528b9fbe745b976bc90af48d4508c2608f39db01

Observation f368baf0-d588-4536-8ca6-128dd5004ad5 · outbound

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

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Scaffold: Stochastic controlled averaging for federated learning

Reference 20

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Unavailable: canonical work link unavailable.

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Observation 8651b59d-4afd-4872-abe0-3c794c14d953 · outbound

This paper cites Federated Learning Based on Dynamic Regularization.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Federated Learning Based on Dynamic Regularization

Reference 21

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no resolver link, observed 2026-08-10T17:34:41.761936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3f26f694-1686-4788-97f2-4ee7e56ea392 · outbound

This paper cites Feddc: Federated learning with non-iid data via local drift decoupling and correction.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Feddc: Federated learning with non-iid data via local drift decoupling and correction

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.701630Z

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.

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Observation 9af8c66f-9d6a-43fa-a9dc-69ac640f999c · outbound

This paper cites Learning to Detect Malicious Clients for Robust Federated Learning.

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

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no resolver link, observed 2026-08-10T17:34:41.771190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 333f4d21-b0ec-4e54-8a74-75d825f8c2b4 · outbound

This paper cites Membership Inference Attacks against Machine Learning Models.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Membership Inference Attacks against Machine Learning Models

Reference 24

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no resolver link, observed 2026-08-10T17:34:41.775530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62ca0a27-a229-4bf4-add1-d3446c4b61b9 · outbound

This paper cites Detection of malicious clients in federated learning using graph neural network.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Detection of malicious clients in federated learning using graph neural network

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.686115Z

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.

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Observation 1bda1174-ae15-44dd-9ef0-81953cef8da2 · outbound

This paper cites Pham, Khoa D.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Pham, Khoa D

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.671346Z

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.

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Observation 67e9075b-5765-4a6a-ab95-39e5d31fb37b · outbound

This paper cites an unresolved cited work.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-10T17:34:42.655731Z

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.

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Observation 63cd744d-6e39-48dc-afdd-06d854bd4327 · outbound

This paper cites FLAME: Taming backdoors in federated learning.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning FLAME: Taming backdoors in federated learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.641534Z

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.

source=pdf_text observed=2026-08-10T17:34:41.793343Z digest=sha256:24ab10862b7763d89f438a2d88dcd42d7210b7a627a8816ee4abcb14db31edbe

Observation a9ae9f1b-9b04-436e-981e-2b27858701cc · outbound

This paper cites Fldetector: Defending federated learning against model poisoning attacks via detecting malicious clients, 2022.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Fldetector: Defending federated learning against model poisoning attacks via detecting malicious clients, 2022

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.627229Z

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.

source=pdf_text observed=2026-08-10T17:34:41.798078Z digest=sha256:8f7d8914f6b73e2d17d7809865210d37d282949cc80b0babe90e131fec40ed43

Observation f672fd68-851b-4576-9c8e-148bcc6bddec · outbound

This paper cites Mitigating backdoor attacks in federated learning, 2021.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Mitigating backdoor attacks in federated learning, 2021

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.611972Z

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.

source=pdf_text observed=2026-08-10T17:34:41.802738Z digest=sha256:1aa61124579561cbc6a8ff60dce35a2f08a1684542373797706a9c3888f5b825

Observation 5f5af21b-b2c0-4c04-91fc-543554e5b612 · outbound

This paper cites Federated unlearning with knowledge distillation, 2022.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Federated unlearning with knowledge distillation, 2022

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.597321Z

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.

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Observation a74cf2f0-cfc1-4d0c-b78c-63884c6da735 · outbound

This paper cites Advances and open problems in federated learning.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Advances and open problems in federated learning

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d3924960-6d74-4384-962d-65922ea4bc3a · outbound

This paper cites Secure extraction of personal information from ehr by federated machine learning.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Secure extraction of personal information from ehr by federated machine learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.573044Z

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.

source=pdf_text observed=2026-08-10T17:34:41.821794Z digest=sha256:0f4c9bf8b89a5e9f9b6fedd5ace5453265776be7e22dad053b22113a45b5f3b7

Observation 8a02ae46-5742-490c-80c0-6f233a71ab45 · outbound

This paper cites Yuen, and Dacheng Tao.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Yuen, and Dacheng Tao

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.558661Z

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.

source=pdf_text observed=2026-08-10T17:34:41.826141Z digest=sha256:6225404ae4af635d4be9abb9e431bf2261d7c3a5213cc153b1989218e0b8a0f0

Observation 37e85195-bbb1-4736-ac01-7ac9ba7a7527 · outbound

This paper cites Federated Learning with Non-IID Data.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Federated Learning with Non-IID Data

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.830923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.830923Z digest=sha256:1236d775f452e6e511600347eec9586e25d63ce98fe54a94378b1db4c5d74411

Observation 874d3f7e-520e-4411-a931-6191e10a8e45 · outbound

This paper cites Badsfl: Backdoor attack against scaffold federated learning, 2024.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Badsfl: Backdoor attack against scaffold federated learning, 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.544207Z

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.

source=pdf_text observed=2026-08-10T17:34:41.835381Z digest=sha256:806884c65f09ce632b42aea6f7f5425070ba40065bc363f70c46e70ecffac1d5

Observation 5d5a912a-f124-496a-a59b-97025a7c63ab · outbound

This paper cites Technical report: Assisting backdoor federated learning with whole population knowledge alignment, 2022.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Technical report: Assisting backdoor federated learning with whole population knowledge alignment, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.529185Z

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.

source=pdf_text observed=2026-08-10T17:34:41.839850Z digest=sha256:c8ba959470ba3a7fe1c59e3c1ef5d2ca2400333fd235898e6f5e5de4eda06657

Observation 13a4ee0b-c08b-4312-914a-e4484d986c04 · outbound

This paper cites Hinton and R.R.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Hinton and R.R

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.512356Z

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.

source=pdf_text observed=2026-08-10T17:34:41.844159Z digest=sha256:ebcd9e83b18da49c43a038042925a1c7468f835a10bd4380d50824c846386968

Observation c8b4b394-3b86-4448-8aba-9f5b9b8710b7 · outbound

This paper cites Autoen- coders for dimensionality reduction in molecular dynamics: Collective variable dimension, biasing, and transition states.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Autoen- coders for dimensionality reduction in molecular dynamics: Collective variable dimension, biasing, and transition states

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.496839Z

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.

source=pdf_text observed=2026-08-10T17:34:41.848782Z digest=sha256:7ec8f9f39171ede7ea883c1a9b7ab4495e4416cbf6da5b15c6707ac9fcc2f1a1

Observation efa8250b-b5dd-4c8a-954d-951e6f24403d · outbound

This paper cites Bengio, and Pascal Vincent.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Bengio, and Pascal Vincent

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.481450Z

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.

source=pdf_text observed=2026-08-10T17:34:41.853109Z digest=sha256:00773f9fb84010d84ee5f8773444972019c9ffc57c1b3d80674b44e7fb7dfee0

Observation 00218ff4-285e-4183-bc19-24e063c13c61 · outbound

This paper cites Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.466335Z

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.

source=pdf_text observed=2026-08-10T17:34:41.857632Z digest=sha256:84ce34c801952b0448531cfbafe344ab50c42503311054c55d666ee7ca511314

Observation 10dff161-e2ea-4677-9d7f-2300631d9ea2 · outbound

This paper cites Attribute2image: Conditional image generation from visual attributes, 2016.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Attribute2image: Conditional image generation from visual attributes, 2016

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.450902Z

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.

source=pdf_text observed=2026-08-10T17:34:41.862117Z digest=sha256:ad885e2b1eb33d51fe15bf9b0770cfc4d2d0d2153a6076662878cd0c2992d667

Observation bf654e2a-559e-4f85-a7ff-cbc3103755a5 · outbound

This paper cites Deep learning for anomaly detection: A review.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Deep learning for anomaly detection: A review

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.866769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.866769Z digest=sha256:50923c324d1c6ba4a648556bc1270b0f66c78070db7b756b31b507f3d47973da

Observation 06578f8c-eaea-443f-bc66-a37c79cd77b4 · outbound

This paper cites Auto-Encoding Variational Bayes.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Auto-Encoding Variational Bayes

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.871397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.871397Z digest=sha256:c43d306cdf5f0e7b4f72d11a89d886cd0996b7824b1541a923878d1f7f4c856c

Observation 96b47073-61f7-41b4-bd7a-cef2e0729191 · outbound

This paper cites Tutorial on Variational Autoencoders.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Tutorial on Variational Autoencoders

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.875888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.875888Z digest=sha256:5fe032e3194f968297b12a9fff496c32c67e7f21294d5e74472b23cb7fbe0c47

Observation 18a51a07-4afb-462e-93ae-dd24bbbc9cf3 · outbound

This paper cites Anomaly detection with conditional variational autoencoders.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Anomaly detection with conditional variational autoencoders

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.426715Z

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.

source=pdf_text observed=2026-08-10T17:34:41.880278Z digest=sha256:c618e0bc97b7f274eae2b62839c385b498be3afc77d15cd9a142faa222baa4b1

Observation f503fc36-ce8a-4c5a-882b-fef03b1d77ad · outbound

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

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Distributed statistical machine learning in adversarial settings: Byzantine gradient descent

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.412267Z

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.

source=pdf_text observed=2026-08-10T17:34:41.884547Z digest=sha256:c850bce4de24e26068892c0a5ce6af85922bf0a88041a21ceddd6d000cfe80c8

Observation b4056f94-1177-44ed-90ff-1495c44d8e34 · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.889007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.889007Z digest=sha256:aea8125ee198e645e3aefd50def916a9a6f350741b37ef2c67cf891319b24961

Observation 8cd859da-5276-42d7-833e-b3d521ebc9cf · outbound

This paper cites Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.388745Z

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.

source=pdf_text observed=2026-08-10T17:34:41.893347Z digest=sha256:9120c7b48e47405bd77f824cec1aa222441a1c4adc483d595aedad8dcd53f819

Observation 1fe95e0e-5e22-4dd7-8d2a-f5890fd0bea1 · outbound

This paper cites DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:34:42.022530Z

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.

source=pdf_text observed=2026-08-10T17:34:41.897513Z digest=sha256:45fd8b665dd091744507cb4d2f68ecd91e564f7fdf4e0e3a59576bfebfbe11fd

Observation 6aa0432e-606a-4d8a-af89-f4cfcaac38c2 · outbound

This paper cites A high-load dnn watermarking scheme based on optimal embedding position.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning A high-load dnn watermarking scheme based on optimal embedding position

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.374075Z

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.

source=pdf_text observed=2026-08-10T17:34:41.902298Z digest=sha256:477a541f5d931dd949e35e4accf1e6ad3b1a43d91c2d6ac6100175103c607b83

Observation 3a8ee7c6-3b37-48d0-b756-d194ec2c5cce · outbound

This paper cites Patel, Tan Nguyen, and Richard G.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Patel, Tan Nguyen, and Richard G

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.360052Z

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.

source=pdf_text observed=2026-08-10T17:34:41.906449Z digest=sha256:5038e7f099b388f52ea060d9e1653bf868e07407eec01f3fd5695cdaee4444e9

Observation a4287dc0-c04c-4ddd-9ee9-3432665becac · outbound

This paper cites How to backdoor federated learning.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning How to backdoor federated learning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.910816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.910816Z digest=sha256:313584dcd00a859437df155a8f929b090e97f9d8931940b8e95d674fe5de3a3c

Observation f3261836-d386-466f-aea8-09ab91cb9289 · outbound

This paper cites Local model poisoning attacks to {Byzantine-Robust} federated learning.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Local model poisoning attacks to {Byzantine-Robust} federated learning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.915286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.915286Z digest=sha256:5df60d954398ab035abddfdea5851d616ee22442ebf22984e0e00281170df7b1

Observation b6849fc4-d751-49fc-bea2-9d4f9a15b90f · outbound

This paper cites beta-V AE: Learning basic visual concepts with a constrained variational framework.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning beta-V AE: Learning basic visual concepts with a constrained variational framework

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.919689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.919689Z digest=sha256:0b29884b5be16b53d851749d4fe3bc88765b0a48555898e976a73571d67b4a2f

Observation ab368964-369d-4d74-adb6-ea2262606fe6 · outbound

This paper cites Generating Sentences from a Continuous Space.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Generating Sentences from a Continuous Space

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.923914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.923914Z digest=sha256:032c0dd6edc87604868a81d20c72155bb90a20964bdd1c5088831028a0f1b811

Observation a9094518-8e40-4ec0-ba46-8d2b3a850a38 · outbound

This paper cites Beyond vanilla variational autoencoders: Detecting posterior collapse in conditional and hierarchical variational autoencoders, 2024.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Beyond vanilla variational autoencoders: Detecting posterior collapse in conditional and hierarchical variational autoencoders, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.318348Z

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.

source=pdf_text observed=2026-08-10T17:34:41.928711Z digest=sha256:484556eea1bd16dffdfd33c236704dd55d6ad8e98d6ee3d7fc514cd8555bd54f

Observation 99c06899-0188-4254-b105-bdefd026ce18 · outbound

This paper cites A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, tax- onomy, challenges, and future research prospects.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, tax- onomy, challenges, and future research prospects

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.303376Z

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.

source=pdf_text observed=2026-08-10T17:34:41.933272Z digest=sha256:0c2cbafae803a41a39b8fbbfa2a4a22302581bafd41b145571b1ba18a59aeead

Observation db39eee2-bcd1-437f-b4fb-c70aa189ea08 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning The mnist database of handwritten digit images for machine learning research

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.937847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.937847Z digest=sha256:bc5180563288f159fa771aea7ea18e956f22b423e6a1b7c82a5bafd01fabcf14

Observation 5899f48f-caee-4adf-98af-39c4be229a8c · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:41.942097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:41.942097Z digest=sha256:bb17f016a0691b1f0afaa1ae311988a2fe861d9ebb5f6413b258177dc56328de

Observation c1cdcf48-2f96-4cd5-a6b2-4a9bdd61a6e1 · outbound

This paper cites Measuring the effects of non-identical data distribution for federated visual classification, 2019.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Measuring the effects of non-identical data distribution for federated visual classification, 2019

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.268506Z

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.

source=pdf_text observed=2026-08-10T17:34:41.946133Z digest=sha256:5cf181116050b7814adc3f6b36e0d656817bf7e45b2973d0d53e876117793845

Observation bea4c14f-ab05-4450-b6be-707109cdd2c5 · outbound

This paper cites Bayesian nonparametric federated learning of neural networks, 2019.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Bayesian nonparametric federated learning of neural networks, 2019

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.253542Z

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.

source=pdf_text observed=2026-08-10T17:34:41.950242Z digest=sha256:75324df19ffe17a67d9b1669a7d0e8a85a1dd8e1d80b6a1a9391c15128934e25

Observation ae470260-2f6c-49b1-83db-ef08c878d02c · outbound

This paper cites Distributed backdoor attacks on federated graph learning and certified defenses, 2024.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Distributed backdoor attacks on federated graph learning and certified defenses, 2024

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.238579Z

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.

source=pdf_text observed=2026-08-10T17:34:41.954548Z digest=sha256:64e91ad94ca694ccb6d0468d7207f774bf8a482821f7cd27c8047d189c7bf253

Observation 08cef7ef-9b5e-411f-9ce0-0c619009cf09 · outbound

This paper cites Mahoney, Joseph E.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Mahoney, Joseph E

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.223973Z

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.

source=pdf_text observed=2026-08-10T17:34:41.959072Z digest=sha256:5032b9c423bd0cf23f8b988685e09705a3b2f2369b78cac3c3f3d74484fed7ba

Observation ecc146c9-d3ab-4e4b-8cbc-c44441244f90 · outbound

This paper cites Pham, Khoa Doan, and Kok-Seng Wong.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Pham, Khoa Doan, and Kok-Seng Wong

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:34:42.209740Z

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.

source=pdf_text observed=2026-08-10T17:34:41.963520Z digest=sha256:a470d19ce893a74d7c532191e23c96bc0566be944ceef1f7112d2c67e4b6928a

Pith citing papers

No inbound Pith citation observations are available.