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Found 2 papers, 1 papers with code
Private Non-Convex Federated Learning Without a Trusted Server
silo data and two classes of Lipschitz continuous loss functions: First, we consider losses satisfying the Proximal Polyak-Lojasiewicz (PL) inequality, which is an extension of the classical PL condition to the constrained setting.
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models
When the additive noise in MLR model is Gaussian, Expectation-Maximization (EM) algorithm is a widely-used algorithm for maximum likelihood estimation of MLR parameters.
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