Publications associées à Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

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

Volkan Cevher, Maria-Luiza Vladarean

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)

, where

f

is a convex function with locally Lipschitz gradient and

g

is convex and possibly non-smooth. We propose an ...

2021

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

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Augmented Lagrangian Methods for Provable and Scalable Machine Learning

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

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Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

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

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

Scalable Convex Optimization Methods for Semidefinite Programming

Feedback and Common Information: Bounds and Capacity for Gaussian Networks

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

SCAFFOLD Stochastic Controlled Averaging for Federated Learning

Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization

Learning with Structured Sparsity: From Discrete to Convex and Back.