S. Khan

Privacy-Preserving Federated Learning Framework for Robust Model Training Under Non IID Data Distributions

Federated learning is a decentralised machine-learning approach in which several clients jointly build a shared model without moving their raw data to one location. Rising concerns around privacy, tightening regulation, and restrictions on how data may be owned or shared have made this approach increasingly attractive...