3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
Zhongyi Cai, Ye Shi, Wei Huang +1
Federated Learning (FL) has emerged as a promising distributed learning paradigm that enables multiple clients to learn a global model collaboratively without sharing their private…
cs.LG2022★ 3 cited
FedTP: Federated Learning by Transformer Personalization
Hongxia Li, Zhongyi Cai, Jingya Wang +4
Federated learning is an emerging learning paradigm where multiple clients collaboratively train a machine learning model in a privacy-preserving manner. Personalized federated lea…