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PersonalizedFederatedLearningwithMoreau Envelopes: SupplementaryMaterials
We first prove case (a).
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1dba3025b159cd9354da65e2d0436a31-Paper.pdf
Traditionally, federated learning (FL) aims to train a single global model while collaboratively using multiple clients and a server. Two natural challenges that FL algorithms face are heterogeneity in data across clients and collaboration of clients with diverse resources.
Repulsive Deep Ensemblesare Bayesian
In @ (x) @ t =r (x)r( log (x) log (x)) = r (x)rlog (x) +r2 (x), thatadmits (x). The ODE [2] related dx dt = r log (x) log (x) .
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