Benchmarking Optimiser Choice and Privacy-Risk Dynamics in Non-IID Federated Learning
Federated Learning (FL) trains shared models across distributed clients without pooling raw data, but its behaviour under heterogeneous data distributions and the associated privacy risks remain imperfectly understood. This paper presents a controlled empirical comparison of Federated Averaging (FedAvg), Federated Prox...