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20232026
most citedA Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control

2 citations · 2 across the 4 of their papers we have counts for

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2 papers · 1 filter

cs.LG2023

Asynchronous Wireless Federated Learning with Probabilistic Client Selection

Jiarong Yang, Yuan Liu, Fangjiong Chen +2

Federated learning (FL) is a promising distributed learning framework where distributed clients collaboratively train a machine learning model coordinated by a server. To tackle th…

cs.LG2023

Accelerating Split Federated Learning over Wireless Communication Networks

Ce Xu, Jinxuan Li, Yuan Liu +2

The development of artificial intelligence (AI) provides opportunities for the promotion of deep neural network (DNN)-based applications. However, the large amount of parameters an…