CB-DSL: Communication-efficient and Byzantine-robust Distributed Swarm Learning on Non-i.i.d. Data-Reference-Cited by-同舟云学术

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CB-DSL: Communication-efficient and Byzantine-robust Distributed Swarm Learning on Non-i.i.d. Data

Published:2023 Issue: Volume: Page:1-1
ISSN:2332-7731
Container-title:IEEE Transactions on Cognitive Communications and Networking
language:
Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

Fan Xin¹^ORCID,Wang Yue²^ORCID,Huo Yan³^ORCID,Tian Zhi⁴^ORCID

Affiliation:

1. School of Information Science and Technology, Beijing Forestry University, Beijing, China

2. Department of Computer Science, Georgia State University, Atlanta, GA, USA

3. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China

4. Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA

Funder

National Science Foundation

Virginia Research Investment Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/6687307/7294639/10242235.pdf?arnumber=10242235

Cited by 4 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. Efficient Byzantine-robust distributed inference with regularization: A trade-off between compression and adversary;Information Sciences;2024-09

2. A Systematic Literature Review on the Use of Federated Learning and Bioinspired Computing;Electronics;2024-08-10

3. GANFed: GAN-Based Federated Learning with Non-IID Datasets in Edge IoTs;ICC 2024 - IEEE International Conference on Communications;2024-06-09

4. Distributed Swarm Learning for Edge Internet of Things;IEEE Communications Magazine;2024

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