Communication-Efficient Federated Learning Through Adaptive Weight Clustering And Server-Side Distillation-Reference-Cited by-同舟云学术

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Communication-Efficient Federated Learning Through Adaptive Weight Clustering And Server-Side Distillation

Published:2024-04-14 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Tsouvalas Vasileios¹,Saeed Aaqib¹,Ozcelebi Tanir¹,Meratnia Nirvana¹

Affiliation:

1. Eindhoven University of Technology,Eindhoven,The Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447174.pdf?arnumber=10447174

Reference24 articles.

1. Federated learning: Strategies for improving communication efficiency;Konečný

2. Communication-Efficient Learning of Deep Networks from Decentralized Data;McMahan

3. Sparsified sgd with memory;Stich

4. Federated progressive sparsification (purge, merge, tune)+;Stripelis,2022

5. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding;Han,2015

Cited by 1 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. Client Selection in Hierarchical Federated Learning;IEEE Internet of Things Journal;2024-09-01

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