41 citations · 103 across the 27 of their papers we have counts for
5 papers · 1 filter
Wyner-Ziv Gradient Compression for Federated Learning
Kai Liang, Huiru Zhong, Haoning Chen +1
Due to limited communication resources at the client and a massive number of model parameters, large-scale distributed learning tasks suffer from communication bottleneck. Gradient…
Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design
Shaoming Huang, Pengfei Zhang, Yijie Mao +2
Federated learning (FL) is recognized as a key enabling technology to support distributed artificial intelligence (AI) services in future 6G. By supporting decentralized data train…
Robust Beamforming Design for Rate Splitting Multiple Access-Aided MISO Visible Light Communications
Shuai Ma, Guanjie Zhang, Zhi Zhang +1
In this paper, we focus on the optimal beamformer design for rate splitting multiple access (RSMA)-aided multipleinput single-output (MISO) visible light communication (VLC) networ…
Improved Communication Efficiency for Distributed Mean Estimation with Side Information
Kai Liang, Youlong Wu
In this paper, we consider the distributed mean estimation problem where the server has access to some side information, e.g., its local computed mean estimation or the received in…
Optimal Coding Scheme and Resource Allocation for Distributed Computation with Limited Resources
Shu-Jie Cao, Lihui Yi, Haoning Chen +1
A central issue of distributed computing systems is how to optimally allocate computing and storage resources and design data shuffling strategies such that the total execution tim…