IRW-FL: Improvement-Based Reliability Weighted Federated Learning
Federated Learning often suffers from significant performance degradation under Non-IID (non-identically and independently distributed) data settings, where heterogeneous client data distributions lead to severe model drift. Traditional aggregation strategies, such as FedAvg, typically determine client contribution wei...