Jose Renato Restom

Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition

Federated Learning (FL) is a promising research paradigm that enables the collaborative training of machine learning models among various parties without the need for sensitive information exchange. Nonetheless, retaining data in individual clients introduces fundamental challenges to achieving perf…