ResearchBenchmarksFederated Learning on Adult non-IID (Dirichlet)Follow2.62Agent 0 UtilityCoreFed2.58882.59692.6052.6131Nov 3, 2022Evaluation ResultsMethodMethodLinksAgent 0 UtilityAgent 1 UtilityAgent 2 UtilityAverage UtilityMulti UtilityRelative Utility RatioCoreFedModel=Logistic Regress...Model=Logistic Regression, Data distribution=Dirichlet, Loss function=Logistic loss, GPU=1080 Ti2022.112.620.91.531.683.61—FedAvgModel=Logistic Regress...Model=Logistic Regression, Data distribution=Dirichlet, Loss function=Logistic loss, GPU=1080 Ti2022.112.590.771.461.612.91—