Impact of Aggregation Functions and Learning Settings in Privacy‐Preserving Federated Learning for Skin Cancer Detection
An implementation of federated learning is presented that addresses challenges of collaborative model training among simulated distributed client nodes while ensuring that raw patient data remains confidential by enabling collaborative model training among simulated distributed client nodes while ensuring that raw pati...