WebThis paper presents a framework for designing a class of distributed, asynchronous optimization algorithms, realized as signal processing architectures utilizing various conservation principles. The architectures are specifically based on stationarity conditions pertaining to primal and dual variables in a class of generally nonconvex ... WebSep 23, 2024 · Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms Abstract: We …
[2004.13233] On Distributed Non-convex Optimization: …
WebDec 4, 2024 · In this paper, we consider the asynchronous training problem with the non-convex case. We theoretically study this problem to find an approximating second-order stationary point using asynchronous algorithms in non-convex optimization and investigate the behaviors of APSGD near-saddle points. WebThe Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2024) is an interdisciplinary conference that brings together researchers in machine … deerwood country club kingwood texas
Distributed Zero-Order Algorithms for Nonconvex Multi-Agent ...
WebNov 22, 2024 · This article introduces an open-source software for distributed and decentralized non-convex optimization named ALADIN-.ALADIN-is a MATLAB implementation of tailored variants of the … WebNov 18, 2024 · Department of Electrical Engineering Abstract: We consider a class of distributed non-convex optimization problems, in which a number of agents are … WebWe study the problem of distributed stochastic non-convex optimization with intermittent communication. We consider the full participation setting where M machines work in parallel over R communication rounds and the partial participation setting where M machines are sampled independently every round from some meta-distribution over machines. deerwood country club kingwood tx