Search Results for author: Zhongyi Cai

Found 2 papers, 2 papers with code

Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning

1 code implementation NeurIPS 2023 Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang

Specifically, the online model learns general knowledge that is shared among all clients, while the offline model is trained locally to learn the specialized knowledge of each individual client.

Domain Generalization General Knowledge +2

FedTP: Federated Learning by Transformer Personalization

1 code implementation3 Nov 2022 Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi

Instead of using a vanilla personalization mechanism that maintains personalized self-attention layers of each client locally, we develop a learn-to-personalize mechanism to further encourage the cooperation among clients and to increase the scablability and generalization of FedTP.

Personalized Federated Learning Privacy Preserving

Cannot find the paper you are looking for? You can Submit a new open access paper.