Web: http://arxiv.org/abs/2206.07944

June 17, 2022, 1:10 a.m. | Huqiang Cheng, Xiaofeng Liao, Huaqing Li

cs.LG updates on arXiv.org arxiv.org

In this paper, we deal with a general distributed constrained online learning
problem with privacy over time-varying networks, where a class of
nondecomposable objective functions are considered. Under this setting, each
node only controls a part of the global decision variable, and the goal of all
nodes is to collaboratively minimize the global objective over a time horizon
$T$ while guarantees the security of the transmitted information. For such
problems, we first design a novel generic algorithm framework, named as …

algorithm arxiv differential privacy distributed global learning math online online learning privacy strategy

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