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berkeley.edu
Consensus-Based Distributed Online Prediction and Optimization
This talk considers the problems of distributed online prediction and optimization. Each node in a network of processors receives a stream of data in an online manner. Before the next data point (or mini-batch) arrives, the processor must make a prediction. Then, after receiving the next point, the processor accrues some loss. The goal of the ...
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