2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation
Fu-En Yang, Chien-Yi Wang, Yu-Chiang Frank Wang
Federated learning (FL) emerges as a decentralized learning framework which trains models from multiple distributed clients without sharing their data to preserve privacy. Recently…
cs.CV2021★ 1 cited
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien +1
Current state-of-the-art deep learning based face recognition (FR) models require a large number of face identities for central training. However, due to the growing privacy awaren…