Learn the Global Prompt in the Low-Rank Tensor Space for Heterogeneous Federated Learning
Academic Background With the increasing complexity of artificial intelligence (AI) models and the growing demand for data privacy protection, Federated Learning (FL) has emerged as a hot research topic as a distributed machine learning paradigm. Federated Learning allows multiple clients to collaboratively train a global model without sharing local...