Publications related to A Global Existence Result for the Semigeostrophic Equations in Three Dimensional Convex Domains

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We consider distributed optimization over several devices, each sending incremental model updates to a central server. This setting is considered, for instance, in federated learning. Various schemes have been designed to compress the model updates in orde ...

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We consider the problem of finding a saddle point for the convex-concave objective

\min_x \max_y f(x) + \langle Ax, y\rangle - g^*(y)

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A Global Existence Result for the Semigeostrophic Equations in Three Dimensional Convex Domains

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Stochastic distributed learning with gradient quantization and double-variance reduction

A first-order primal-dual method with adaptivity to local smoothness

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

Mathematical Foundations of Robust and Distributionally Robust Optimization

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

Convex Combination of Diffusion Strategies Over Networks

On the convergence of stochastic primal-dual hybrid gradient

Discrete-time regional pole-placement using convex approximations: Theory and application to a boost converter

Proximity Operators of Discrete Information Divergences

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

Discrete-time regional pole-placement using convex approximations: Theory and application to a boost converter

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

Mathematical Foundations of Robust and Distributionally Robust Optimization

Proximity Operators of Discrete Information Divergences

Convex Combination of Diffusion Strategies Over Networks

On the convergence of stochastic primal-dual hybrid gradient

Stochastic distributed learning with gradient quantization and double-variance reduction

A first-order primal-dual method with adaptivity to local smoothness

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features