Power of Redundancy: Surplus Client Scheduling for Federated Learning against User Uncertainties-Reference-Cited by-同舟云学术

Power of Redundancy: Surplus Client Scheduling for Federated Learning against User Uncertainties

Published:2022 Issue: Volume: Page:1-1
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Li Youqi¹,Li Fan²,Chen Lixing³,Zhu Liehuang⁴,Zhou Pan⁵,Wang Yu⁶

Affiliation:

1. School of Cyberspace Science and Technology, and School of Computer Science, Beijing Institute of Technology, Beijing

2. School of Computer Science, Beijing Institute of Technology, Beijing, 100081, China

3. Institute of Cyber Science and Technology, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 12474 Shanghai, Shanghai, China

4. Institute of Cyber Science and Technology, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China, and Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, Shanghai, 200240, China

5. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

6. Department of Computer and Information Sciences at Temple University, Philadelphia, PA 19122, USA

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

National Natural Science Foundation of China General Technology Basic Research Joint Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09782544.pdf?arnumber=9782544

Cited by 15 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. A Cooperative Analysis to Incentivize Communication-Efficient Federated Learning;IEEE Transactions on Mobile Computing;2024-10

2. Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds;IEEE Transactions on Parallel and Distributed Systems;2024-08

3. AcouWrite: Acoustic-Based Handwriting Recognition on Smartphones;IEEE Transactions on Mobile Computing;2024-08

4. Toward Efficient Urban Emergency Response Using UAVs Riding Crowdsourced Buses;IEEE Internet of Things Journal;2024-06-15

5. MR-FFL: A Stratified Community-Based Mutual Reliability Framework for Fairness-Aware Federated Learning in Heterogeneous UAV Networks;IEEE Internet of Things Journal;2024-06-15