Decentralized Federated Learning: A Survey on Security and Privacy-Reference-Cited by-同舟云学术

Decentralized Federated Learning: A Survey on Security and Privacy

Author:

Hallaji Ehsan¹^ORCID,Razavi-Far Roozbeh²^ORCID,Saif Mehrdad¹^ORCID,Wang Boyu³^ORCID,Yang Qiang⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada

2. Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada

3. Department of Computer Science and Brain Mind Institute, the University of Western Ontario, London, ON, Canada

4. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference160 articles.

1. Federated optimization: Distributed machine learning for on-device intelligence;Konečný,2016

2. Communication-efficient learning of deep networks from decentralized data;McMahan

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