Trung Phan

HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation

Federated Learning (FL) is a decentralized approach where multiple clients collaboratively train a shared global model without sharing their raw data. Despite its effectiveness, conventional FL faces scalability challenges due to excessive computational and communication demands placed on a single c