Optimal Obfuscation to Protect Client Privacy in Federated Learning-Reference-Cited by-同舟云学术

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Optimal Obfuscation to Protect Client Privacy in Federated Learning

Published:2024-03-13 Issue: Volume:21 Page:1-6
ISSN:
Container-title:2024 58th Annual Conference on Information Sciences and Systems (CISS)
language:
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Author:

Guan Bo¹,Wei Shuangqing²,Houmansadr Amir³,Pishro-Nik Hossein¹,Goeckel Dennis¹

Affiliation:

1. University of Massachusetts Amherst,Department of Electrical and Computer Engineering,Amherst,MA,USA,01003

2. Louisiana State University,School of Electrical Engineering and Computer Science,Baton Rouge,LA,USA,70803

3. University of Massachusetts Amherst,Manning College of Information and Computer Sciences,Amherst,MA,USA,01003

Funder

National Science Foundation

Army Research Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10480156/10480157/10480208.pdf?arnumber=10480208

Reference31 articles.

1. Decentralized Federated Learning for Electronic Health Records

2. Federated Learning for Internet of Things: A Comprehensive Survey

3. Client-Edge-Cloud Hierarchical Federated Learning

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