Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning-Reference-Cited by-同舟云学术

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Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning

Published:2024-07 Issue:7 Volume:35 Page:1207-1220
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Mishra Rahul¹^ORCID,Gupta Hari Prabhat²^ORCID,Banga Garvit³^ORCID,Das Sajal K.⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Institute of Technology Patna, Patna, India

2. Department of Computer Science and Engineering, Institute of Technology (BHU), Varanasi, India

3. Department of Metallurgical Engineering, Indian Institute of Technology (BHU), Varanasi, India

4. Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA

Funder

I-DAPT HUB FOUNDATION

Science and Engineering Research Board

NSF

Cyberinfrastructure for Accelerating Innovation in Network Dynamics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/71/10530517/10476717-aam.pdf

Reference36 articles.

1. Flexible Clustered Federated Learning for Client-Level Data Distribution Shift

2. Reputation-aware Hedonic Coalition Formation for Efficient Serverless Hierarchical Federated Learning

3. An Asynchronous and Real-Time Update Paradigm of Federated Learning for Fault Diagnosis

4. Asynchronous Federated Learning Over Wireless Communication Networks

Cited by 2 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 comprehensive survey on client selection strategies in federated learning;Computer Networks;2024-09

2. Combined localization and clustering approach for reduced energy presumption in heterogeneous IoT;Physica Scripta;2024-06-07

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