Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices-Reference-Cited by-同舟云学术

Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

Sasindran Zitha¹,Yelchuri Harsha¹,Prabhakar T. V.¹

Affiliation:

1. Indian Institute of Science,Department of Electronic Systems Engineering,Bengaluru,India,560012

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191316.pdf?arnumber=10191316

Reference28 articles.

1. MAB-based Client Selection for Federated Learning with Uncertain Resources in Mobile Networks

2. Multi-armed bandit-based client scheduling for federated learning;wenchao;IEEE Transactions on Wireless Communications,2020

3. Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection

4. Birds of a Feather Help: Context-aware Client Selection for Federated Learning;hangrui;Int Workshop on Trustable Verifiable and Auditable Federated Learning in Conjunction with AAAI (FL-AAAI),0

5. Oort: Efficient Federated Learning via Guided Partici-pant Selection;fan;OSDI,2021

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