Defending Against Poisoning Attacks in Federated Learning With Blockchain-Reference-Cited by-同舟云学术

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Defending Against Poisoning Attacks in Federated Learning With Blockchain

Published:2024-07 Issue:7 Volume:5 Page:3743-3756
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Dong Nanqing¹^ORCID,Wang Zhipeng²^ORCID,Sun Jiahao³^ORCID,Kampffmeyer Michael⁴^ORCID,Knottenbelt William²^ORCID,Xing Eric⁵

Affiliation:

1. Shanghai Artificial Intelligence Laboratory, Shanghai, China

2. Department of Computing, Imperial College London, London, U.K.

3. FLock.io, London, U.K.

4. Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway

5. Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

Funder

FLock.io

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9078688/10599850/10471193.pdf?arnumber=10471193

Reference53 articles.

1. Deep Residual Learning for Image Recognition

2. Human-level control through deep reinforcement learning

3. General data protection regulation,2016

4. Health insurance portability and accountability act,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BlockAgents: Towards Byzantine-Robust LLM-Based Multi-Agent Coordination via Blockchain;ACM Turing Award Celebration Conference 2024;2024-07-05

2. A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward;IEEE Access;2024

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