1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IT2024
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…
cs.IT2023★ 1 cited
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…
cs.LG2022
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…