Ke Li

FedBudget: A Budget-Aware Federated Learning Method for Communication-Constrained Distributed Data Mining

Federated learning enables collaborative data mining without centralizing raw data, but communication budgets remain a practical bottleneck in distributed deployment. Existing federated optimization methods mainly address statistical heterogeneity or aggregation stability, while...