Web: http://arxiv.org/abs/2209.07821

Sept. 19, 2022, 1:11 a.m. | Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed

cs.LG updates on arXiv.org arxiv.org

In this paper, we consider decentralized optimization problems where agents
have individual cost functions to minimize subject to subspace constraints that
require the minimizers across the network to lie in low-dimensional subspaces.
This constrained formulation includes consensus or single-task optimization as
special cases, and allows for more general task relatedness models such as
multitask smoothness and coupled optimization. In order to cope with
communication constraints, we propose and study an adaptive decentralized
strategy where the agents employ differential randomized quantizers …

arxiv constraints decentralized math quantization

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