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SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks.

, , , , , , , , и . CoRR, (2018)

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Junyu Lai

Junyu Kitayama

Junyu Lai

Junyu Dong

Zhang Zhang

 

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A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection., , , и . SIAM J. Sci. Comput., 40 (5): A3091-A3120 (2018)SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks., , , , , , , , и . CoRR, (2018)MARL with General Utilities via Decentralized Shadow Reward Actor-Critic., , , и . CoRR, (2021)Cubic Regularized Newton Method for the Saddle Point Models: A Global and Local Convergence Analysis., , и . J. Sci. Comput., 91 (2): 60 (2022)Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic., , , и . AAAI, стр. 9031-9039. AAAI Press, (2022)A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP., , и . NeurIPS, (2022)Intermittent Communications in Decentralized Shadow Reward Actor-Critic., , , и . CDC, стр. 2613-2620. IEEE, (2021)Highly accurate model for prediction of lung nodule malignancy with CT scans., , , , , , , , и . CoRR, (2018)A special case of partially observable Markov decision processes problem by event-based optimization.. ICIT, стр. 1522-1526. IEEE, (2016)Quantumized Microwave Detection Based on Λ-Type Three-Level Superconducting System: HMM Modeling and Performance Prediction., , , , , , , , и . IEEE Trans. Commun., 69 (11): 7192-7204 (2021)