Efficient Distributed Online Prediction and Stochastic Optimization with Approximate Distributed Averaging.
IEEE Transactions on Signal and Information Processing over Networks(2016)
摘要
We study distributed methods for online prediction and stochastic optimization. Our approach is iterative: In each round, nodes first perform local computations and then communicate in order to aggregate information and synchronize their decision variables. Synchronization is accomplished through the use of a distributed averaging protocol. When an exact distributed averaging protocol is used, it ...
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关键词
Stochastic processes,Protocols,Synchronization,Prediction algorithms,Information processing,Optimization methods
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