A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design-Reference-Cited by-同舟云学术

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A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design

Published:2024-06-09 Issue: Volume: Page:3598-3603
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Yang Nuocheng¹,Wang Sihua¹,Chen Mingzhe²,Yin Changchuan¹,Brinton Christopher G.³

Affiliation:

1. Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Network,Beijing,China

2. Institute for Data Science and Computing, University of Miami,Department of Electrical and Computer Engineering,Coral Gables,FL,USA

3. Purdue University,School of Electrical and Computer Engineering,West Lafayette,IN,USA

Funder

U.S. National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622626.pdf?arnumber=10622626

Reference16 articles.

1. Guest Editorial Special Issue on Distributed Learning Over Wireless Edge Networks—Part II

2. A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

3. Wireless Communications for Collaborative Federated Learning

4. Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks

5. Byzantine-resilient Decentralized Stochastic Gradient Descent

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