Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling-Reference-Cited by-同舟云学术

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Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling

Published:2022-05-02 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
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Author:

Luo Bing¹,Xiao Wenli²,Wang Shiqiang³,Huang Jianwei²,Tassiulas Leandros⁴

Affiliation:

1. Shenzhen Institute of Artificial Intelligence and Robotics for Society,China

2. School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,China

3. IBM T. J. Watson Research Center,Yorktown Heights,NY,USA

4. Yale University,Department of Electrical Engineering and Institute for Network Science,USA

Funder

University of Hong Kong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9796607/9796652/09796935.pdf?arnumber=9796935

Reference44 articles.

1. Cost-Effective Federated Learning Design

2. Adaptive Federated Learning in Resource Constrained Edge Computing Systems

3. TiFL: A Tier-based Federated Learning System

4. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

5. Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning

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1. Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions;Future Generation Computer Systems;2024-11

2. Adaptive Heterogeneous Client Sampling for Federated Learning Over Wireless Networks;IEEE Transactions on Mobile Computing;2024-10

3. Rethinking Personalized Federated Learning from Knowledge Perspective;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

4. Federated Continual Learning via Knowledge Fusion: A Survey;IEEE Transactions on Knowledge and Data Engineering;2024-08

5. Joint Client Scheduling and Quantization Optimization in Energy Harvesting-Enabled Federated Learning Networks;IEEE Transactions on Wireless Communications;2024-08

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