On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge-Reference-Cited by-同舟云学术

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On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Global Communications Conference (GLOBECOM)
language:
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Author:

Nguyen Hung T.¹,Morabito Roberto¹,Kim Kwang Taik²,Chiang Mung²

Affiliation:

1. Princeton University

2. Purdue University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685893.pdf?arnumber=9685893

Reference23 articles.

1. A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus

2. The design and operation of CloudLab;duplyakin;Proceedings of USENIX ATC,0

Cited by 3 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. Impact of network topology on the performance of Decentralized Federated Learning;Computer Networks;2024-11

2. Communication cost-aware client selection in online federated learning: A Lyapunov approach;Computer Networks;2024-07

3. Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point;IEEE/ACM Transactions on Networking;2023-12

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