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Federated Acoustic Model Optimization for Automatic Speech Recognition.

, , , , , , , , , and . DASFAA (3), volume 12114 of Lecture Notes in Computer Science, page 771-774. Springer, (2020)

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A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition., , , , , and . IJCAI, page 3709-3715. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Federated Acoustic Model Optimization for Automatic Speech Recognition., , , , , , , , , and . DASFAA (3), volume 12114 of Lecture Notes in Computer Science, page 771-774. Springer, (2020)Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity., , , and . NeurIPS, page 8376-8385. (2018)Memetic Federated Learning for Biomedical Natural Language Processing., , , , , , , and . NLPCC (2), volume 13029 of Lecture Notes in Computer Science, page 43-55. Springer, (2021)Heterogeneous Latent Topic Discovery for Semantic Text Mining., , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (1): 533-544 (2023)DSANLS: Accelerating Distributed Nonnegative Matrix Factorization via Sketching., , , and . WSDM, page 450-458. ACM, (2018)A Platform for Deploying the TFE Ecosystem of Automatic Speech Recognition., , , , , , , and . ACM Multimedia, page 6952-6954. ACM, (2022)Barzilai-Borwein Step Size for Stochastic Gradient Descent., , , and . NIPS, page 685-693. (2016)