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Route Optimization via Environment-Aware Deep Network and Reinforcement Learning
Vehicle mobility optimization in urban areas is a long-standing problem in smart city and spatial data analysis.
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning
Following a theoretical analysis on the characteristics of the new objective function, WASGD introduces a decentralized weighted aggregating scheme based on the performance of local workers.
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