most citedFederated Learning from Pre-Trained Models: A Contrastive Learning Approach

67 citations · 67 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2022★ 67 cited

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

Yue Tan, Guodong Long, Jie Ma +3

Federated Learning (FL) is a machine learning paradigm that allows decentralized clients to learn collaboratively without sharing their private data. However, excessive computation…

cs.LG2022

Personalized Federated Learning With Graph

Fengwen Chen, Guodong Long, Zonghan Wu +2

Knowledge sharing and model personalization are two key components in the conceptual framework of personalized federated learning (PFL). Existing PFL methods focus on proposing new…