FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning | Paper Citation Record

Observation 6ce50bcd-8899-4b4d-bccf-97347d024fdd · outbound

This paper cites Machine learning on big data: Opportunities and challenges,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Machine learning on big data: Opportunities and challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:14.863709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 403999e6-26d6-40b0-827d-e4b413c6ba5f · outbound

This paper cites Personalized federated learning with model-contrastive learning for multi-modal user modeling in human-centric metaverse,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Personalized federated learning with model-contrastive learning for multi-modal user modeling in human-centric metaverse,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:14.731881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1073f0b3-0353-4cdb-926c-1acff44c8a92 · outbound

This paper cites Can: Leveraging clients as navigators for generative replay in federated continual learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Can: Leveraging clients as navigators for generative replay in federated continual learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:14.465877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0cb71074-9127-48fc-ba25-59c3cd01808e · outbound

This paper cites Boosting adversarial transferability via relative feature importance- aware attacks,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Boosting adversarial transferability via relative feature importance- aware attacks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:14.250423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 41748549-b353-4d46-8696-fff4c43c7211 · outbound

This paper cites Challenges in data collection in real-world environments for activity recognition,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Challenges in data collection in real-world environments for activity recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:14.061275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e42cc424-1e36-4010-8d3f-0779ad50bcda · outbound

This paper cites Text- based person search without parallel image-text data,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Text- based person search without parallel image-text data,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:13.847044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b2b00d99-0cbe-4ee3-918c-29a835227dad · outbound

This paper cites Trustworthy and fair federated learning via reputation-based consensus and adaptive incentives,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Trustworthy and fair federated learning via reputation-based consensus and adaptive incentives,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:13.647737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6dc10798-f0f3-4e27-ba13-1a466b6bffa6 · outbound

This paper cites Communication-efficient federated learning via knowledge distillation,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Communication-efficient federated learning via knowledge distillation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:13.508530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2429acd3-c5eb-4492-b965-bab03bfdf10c · outbound

This paper cites Medical internet of things and big data in healthcare,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Medical internet of things and big data in healthcare,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:13.296470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 403fef99-7c96-475b-bfbe-88f3309b1c51 · outbound

This paper cites The impact of gdpr on global technology development,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning The impact of gdpr on global technology development,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:13.036658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e0e300e0-4f14-4d28-beb8-e44522458070 · outbound

This paper cites Beyond the hipaa privacy rule: enhancing privacy, improving health through research,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Beyond the hipaa privacy rule: enhancing privacy, improving health through research,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:12.891027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2d66732b-f792-4c91-9049-cc7bb010c2b3 · outbound

This paper cites Split-fed learning: A deep dive into methods, innovations and future prospects for data privacy and efficiency in decentralized machine learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Split-fed learning: A deep dive into methods, innovations and future prospects for data privacy and efficiency in decentralized machine learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:12.714190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation df62c782-6446-4da7-b323-979a5269b4c5 · outbound

This paper cites The federation strikes back: A survey of federated learning privacy attacks, defenses, applications, and policy landscape,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning The federation strikes back: A survey of federated learning privacy attacks, defenses, applications, and policy landscape,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:12.420915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3827b24c-24ba-4d08-9949-3af55f6fa5c4 · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:12.270220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 37c8a986-ee97-416e-80b5-8ef59ba4bee7 · outbound

This paper cites A survey on federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning A survey on federated learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:12.082605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc112fda-6c75-4776-bf6a-ff5190da836a · outbound

This paper cites Federated learning with long-tailed data via representation unification and classifier rectification,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Federated learning with long-tailed data via representation unification and classifier rectification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:11.906254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10ae2aee-a6ec-46fa-916e-cd815981d2bc · outbound

This paper cites Client selection in federated learning: Principles, challenges, and opportunities,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Client selection in federated learning: Principles, challenges, and opportunities,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:11.700982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7a2a1fbd-a9d6-4ea3-a052-444a8d61fbf3 · outbound

This paper cites Robust federated learning with noisy and het- erogeneous clients,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Robust federated learning with noisy and het- erogeneous clients,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:11.453429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7084e3e2-3b0e-461f-83cd-fb8064a50930 · outbound

This paper cites A robust privacy-preserving federated learning model against model poisoning attacks,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning A robust privacy-preserving federated learning model against model poisoning attacks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:11.291442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3a027f19-9ade-441e-92aa-e928cfdaaa2f · outbound

This paper cites Byzantine-robust decentralized federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Byzantine-robust decentralized federated learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:11.111767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 50f358ce-7576-4da9-a11b-d7ae46620d10 · outbound

This paper cites A review of federated learning methods in heterogeneous scenarios,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning A review of federated learning methods in heterogeneous scenarios,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:10.892450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc9cd57c-5258-4f09-bbfc-783e429c0e90 · outbound

This paper cites Model aggregation techniques in federated learning: A comprehensive survey,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Model aggregation techniques in federated learning: A comprehensive survey,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:10.665451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 152ce10d-9cdb-4694-abc1-1618705dcb58 · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Heterogeneous feder- ated learning: State-of-the-art and research challenges,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:10.519313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b0f95a31-06a5-4ecc-92db-06d083919de0 · outbound

This paper cites Challenges and future directions of secure federated learning: a survey,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Challenges and future directions of secure federated learning: a survey,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:10.378067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ea75afe9-ce81-44a3-b030-739a93b31fad · outbound

This paper cites Learn from others and be yourself in heterogeneous federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Learn from others and be yourself in heterogeneous federated learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:10.144773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 958a5c24-56fe-49a3-a11f-2fa5994e7e02 · outbound

This paper cites Provfl: Property inference attacks against vertical federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Provfl: Property inference attacks against vertical federated learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:09.930576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1a5d32b8-4099-4ab0-9eef-4b55a17c134d · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Fedgt: Identification of malicious clients in federated learning with secure aggregation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:09.782702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3faf47ff-589e-443c-b61e-33207a77963e · outbound

This paper cites Self-driven entropy aggregation for byzantine-robust heterogeneous federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Self-driven entropy aggregation for byzantine-robust heterogeneous federated learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:09.568536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71925df9-0fef-4aab-a7d1-74b3d644e311 · outbound

This paper cites When the curious abandon honesty: Federated learn- ing is not private,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning When the curious abandon honesty: Federated learn- ing is not private,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:09.353010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a051423-3789-408f-a292-de738e1c0fcd · outbound

This paper cites Threats to Federated Learning: A Survey.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Threats to Federated Learning: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T13:33:59.113383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b2a9eee-dcb1-4d30-8676-7d0ca529e3c7 · outbound

This paper cites Deep model poisoning attack on federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Deep model poisoning attack on federated learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:09.155500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c3fba4e-084f-4185-a106-b66e3f4ded09 · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Manipulating the byzantine: Opti- mizing model poisoning attacks and defenses for federated learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:09.136934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7cd5c78b-85b4-4a83-b341-67f80679fc6e · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Local model poisoning attacks to {Byzantine-Robust} federated learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:08.861852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a15d1c30-2bb5-4676-ac2c-a2511fb01571 · outbound

This paper cites Data poisoning attacks against federated learning systems,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Data poisoning attacks against federated learning systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:08.634864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36e8d8e8-895b-4367-a94a-c21f996ee65b · outbound

This paper cites Efficiently achieving privacy preservation and poisoning attack resistance in federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Efficiently achieving privacy preservation and poisoning attack resistance in federated learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:08.393608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 70de7abd-fff8-4f64-b037-60382a27d932 · outbound

This paper cites Decaf: Data distribution decompose attack against federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Decaf: Data distribution decompose attack against federated learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:08.141164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dcf8ec1c-2c19-4ccb-ab06-98ce1159ebf7 · outbound

This paper cites Federated learning for credit risk assessment.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Federated learning for credit risk assessment

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:07.875469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cecc61b3-5c06-4404-aeb0-05111a3ad4ba · outbound

This paper cites A federated learning-enabled predictive analysis to forecast stock market trends,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning A federated learning-enabled predictive analysis to forecast stock market trends,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:07.599748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e062fcf-1cb5-4c8c-9319-5047529f7637 · outbound

This paper cites A survey on ensemble learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning A survey on ensemble learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:07.332796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 357b1b46-9a33-4647-bdae-b6886bf41866 · outbound

This paper cites Ensemble learning: A survey,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Ensemble learning: A survey,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:07.018319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4d0bffb-6c7f-41d3-a21a-c90975d4de44 · outbound

This paper cites Ensemble learning method using stacking with base learner, a comparison,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Ensemble learning method using stacking with base learner, a comparison,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:06.796046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cf4f2f33-eb74-4596-9be1-3da329424223 · outbound

This paper cites Learning with symmetric label noise: The importance of being unhinged,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Learning with symmetric label noise: The importance of being unhinged,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:06.512377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 57c10bfc-8a6a-4567-a304-7b11d20f5b5d · outbound

This paper cites Co-teaching: Robust training of deep neural networks with extremely noisy labels,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Co-teaching: Robust training of deep neural networks with extremely noisy labels,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:06.293996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6536a03a-a7f3-4b9d-98f3-9854a3e180fa · outbound

This paper cites Badsampler: Harnessing the power of catastrophic forgetting to poison byzantine-robust federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Badsampler: Harnessing the power of catastrophic forgetting to poison byzantine-robust federated learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:06.077968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation df7ebe0a-3027-4ff1-a75f-3519fe24f645 · outbound

This paper cites Can You Really Backdoor Federated Learning?.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Can You Really Backdoor Federated Learning?

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T13:34:01.075906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d66c35f-dd5b-497d-bdc6-4365802b5e97 · outbound

This paper cites Backdoor defense via deconfounded representation learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Backdoor defense via deconfounded representation learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:05.893942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a84e775-e8b3-4e9f-a915-0692b5a3a9f8 · outbound

This paper cites How to backdoor federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning How to backdoor federated learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:05.713641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 79fd88e0-6d41-44ad-af0a-7a04b4ae2884 · outbound

This paper cites Dba: Distributed backdoor attacks against federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Dba: Distributed backdoor attacks against federated learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:05.474945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c5eea956-d099-4e0f-aefa-f619e9f06b70 · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning A little is enough: Circumvent- ing defenses for distributed learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:05.212931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 263f79b8-ca8b-4819-be4b-d95e72058691 · outbound

This paper cites Fedghost: Data-free model poisoning enhancement in federated learning,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Fedghost: Data-free model poisoning enhancement in federated learning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:04.964227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab8da47a-6053-4eca-a9a0-5d0a140485b5 · outbound

This paper cites Ma- chine learning with adversaries: Byzantine tolerant gradient descent,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Ma- chine learning with adversaries: Byzantine tolerant gradient descent,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:04.694160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 978d045d-144e-4e86-b04d-24cac16b8953 · outbound

This paper cites Mitigating Sybils in Federated Learning Poisoning.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T13:34:01.757364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd53c904-a875-483d-a0a0-431da7d85303 · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Byzantine-robust dis- tributed learning: Towards optimal statistical rates,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:04.487349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1bc01658-2c0c-4706-bb0f-ab4f661bb779 · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning The hidden vulnerability of distributed learning in byzantium,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:04.223559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f90fac3-5c2c-44b8-b295-b9b449cf27df · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Fltrust: Byzantine-robust federated learning via trust bootstrapping,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:03.923028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5443fac4-134c-404e-b378-6109f763a08c · outbound

This paper cites The mnist database of handwritten digits,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning The mnist database of handwritten digits,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:03.786706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 67c64a38-4e40-4757-b5d8-9b188d7967ff · outbound

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

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Learning multiple layers of features from tiny images,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:03.535968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 292ad6cf-619f-41a7-8d6d-a7ba9c01d335 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T13:34:02.692274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc79b20-67b2-41e5-8038-ba86af9ad629 · outbound

This paper cites Federated optimization in heterogeneous networks,.

FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Federated optimization in heterogeneous networks,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:34:03.238526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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