FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization

1 code implementation • 4 May 2023 • Jose A. Carrillo, Nicolas Garcia Trillos, Sixu Li, Yuhua Zhu

Federated learning is an important framework in modern machine learning that seeks to integrate the training of learning models from multiple users, each user having their own local data set, in a way that is sensitive to data privacy and to communication loss constraints.

Federated Learning Mathematical Reasoning