A retrospective survey and empirical evaluation of deep learning optimization algorithms that identifies trends, design trade-offs, and future directions.
Sparq-sgd: Event-triggered and compressed communication in decentralized optimization.TAC
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Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations
A retrospective survey and empirical evaluation of deep learning optimization algorithms that identifies trends, design trade-offs, and future directions.