2025
K-HashFed: Communication Efficient Federated Learning through Gradient Clustering and Hashing
ICASSP 2025accepted
Federated learning (FL) is a decentralized framework for collaborative model training while preserving data privacy. However, high communication overhead between clients and central server hinders FL scalability. This paper introduces K-HashFed, a novel gradient compression approach that integrates…