Fu-En Yang

Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation

2023 · arXiv (Cornell University)

Federated learning (FL) emerges as a decentralized learning framework which trains models from multiple distributed clients without sharing their data to preserve privacy. Recently, large-scale pre-trained models (e.g., Vision Transformer) have shown a strong capability …