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Decentralized Markov Chain Gradient Descent., , , , и . CoRR, (2019)An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines., , , , , и . ICDM Workshops, стр. 1209-1216. IEEE, (2018)Incorporating Graph Attention and Recurrent Architectures for City-Wide Taxi Demand Prediction., и . ISPRS Int. J. Geo Inf., 8 (9): 414 (2019)PruX: Communication Pruning of Parallel BFS in the Graph 500 Benchmark., , , и . ICA3PP (1), том 11334 из Lecture Notes in Computer Science, стр. 106-121. Springer, (2018)Military Scenario Named Entity Recognition Method Based on Deep Neural Network., , , и . ICCAIS, стр. 137-140. IEEE, (2018)基于样本权重更新的不平衡数据集成学习方法 (Ensemble Learning Method for Imbalanced Data Based on Sample Weight Updating)., , и . 计算机科学, 45 (7): 31-37 (2018)Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUs., , , и . ICA3PP (2), том 11945 из Lecture Notes in Computer Science, стр. 27-41. Springer, (2019)Matrix Approximation with Cumulative Penalty for Collaborative Filtering., , , и . CSCWD, стр. 458-463. IEEE, (2019)Elastic scheduler: Heterogeneous and dynamic deep Learning in the cloud., , , и . Concurr. Comput. Pract. Exp., (2021)Gradient Descent Learning With Floats., , и . IEEE Trans. Cybern., 52 (3): 1763-1771 (2022)