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Decentralized Online Exp-Concave Optimization

Qiu, Hao et al.
arXiv (All) · Papers
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machine-learning
Decentralized Online Convex Optimization (D-OCO) is a fundamental framework in which a set of local agents aims to minimize a sequence of global loss functions using only local computations and communications. While recent work has established near-optimal regret guarantees for convex and strongly c
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