Catfedavg: Optimising communication-efficiency and classification accuracy in federated learning
We propose CatFedAvg, a novel approach to federated learning that optimizes both communication efficiency and classification accuracy. Our method introduces categorical federated averaging, which strategically aggregates model updates while reducing communication overhead.
Nov 1, 2020