2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
CVPR 2025poster
Federated Learning (FL) has emerged as a promising framework for distributed machine learning, enabling collaborative model training without sharing local data, thereby preserving privacy and enhancing security. However, data heterogeneity resulting from differences across user behaviors, preference…