ResearchBenchmarksFederated Learning on MNIST (non-IID (Dirichlet))Follow0.36Utility (Agent 0)CoreFed0.33920.34460.350.3554Nov 3, 2022Evaluation ResultsMethodMethodLinksUtility (Agent 0)Utility (Agent 1)Utility (Agent 2)Average UtilityMulti UtilityRelative Utility RatioCoreFedModel=CNN, Data distri...Model=CNN, Data distribution=Dirichlet, Loss function=Cross entropy loss, GPU=1080 Ti2022.110.360.410.910.560.13—FedAvgModel=CNN, Data distri...Model=CNN, Data distribution=Dirichlet, Loss function=Cross entropy loss, GPU=1080 Ti2022.110.340.290.920.520.091—