Federated Learning (FL) seeks to train a model collaboratively without sharing private
training data from individual clients. Despite its promise, FL encounters challenges such as …

Federated Learning (FL) is a distributed and privacy-preserving machine learning paradigm
that coordinates multiple clients to train a model while keeping the raw data localized …