IEEE

PRFL: Achieving Efficient Robust Aggregation in Privacy-Preserving Federated Learning

Abstract: Robust Privacy-Preserving Federated Learning (PPFL) is a secure distributed machine learning paradigm designed for untrusted environments, aiming to ...
IEEE

What is the Value of Heuristic Model Selection and Aggregation in Federated Learning?

Abstract: Federated learning (FL) is a promising distributed machine learning framework for mobile networks, where an aggregation server produces a global model by aggregating the local models from ...