Loc Thanh Huynh

Adaptive Local Step Tuning for federated learning under data heterogeneity

Federated Learning (FL) enables collaborative model training across decentralized clients while preserving data privacy. However, non-IID data often induces client drift and unstable convergence due to mismatched local training dynamics across clients. Standard FL methods typically utilize fixed local training budgets,...