1 citations · 1 across the 4 of their papers we have counts for
4 papers
Aggregation Design for Personalized Federated Multi-Modal Learning over Wireless Networks
Benshun Yin, Zhiyong Chen, Meixia Tao
Federated Multi-Modal Learning (FMML) is an emerging field that integrates information from different modalities in federated learning to improve the learning performance. In this…
Knowledge Distillation and Training Balance for Heterogeneous Decentralized Multi-Modal Learning over Wireless Networks
Benshun Yin, Zhiyong Chen, Meixia Tao
Decentralized learning is widely employed for collaboratively training models using distributed data over wireless networks. Existing decentralized learning methods primarily focus…
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning
Benshun Yin, Zhiyong Chen, Meixia Tao
As an edge intelligence algorithm for multi-device collaborative training, federated learning (FL) can reduce the communication burden but increase the computing load of wireless d…
Autoencoder-based Semantic Communication Systems with Relay Channels
Xinlai Luo, Zhiyong Chen, Bin Xia +1
In this letter, we propose a semantic communication scheme for wireless relay channels based on Autoencoder, named AESC, which encodes and decodes sentences from the semantic dimen…