Sumukh Gupta

FedA2W: adaptive aggregation with weighted loss proximity for non-IID federated learning

The proposed approach displays improvement in accuracy and uniformity across client accuracy by enhancing the fairness of the federated learning system using a novel distribution-aware algorithm.