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Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences., and . IEEE Trans. Neural Networks Learn. Syst., 29 (10): 5159-5165 (2018)Energy-Efficient LSTM Networks for Online Learning., , and . IEEE Trans. Neural Networks Learn. Syst., 31 (8): 3114-3126 (2020)Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions., , , , , , and . CoRR, (2021)Convexifying Transformers: Improving optimization and understanding of transformer networks., , and . CoRR, (2022)Recurrent neural networks based online learning algorithms for distributed systems., , and . SIU, page 1-4. IEEE, (2018)Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4024-4033. PMLR, (2020)Unsupervised Anomaly Detection With LSTM Neural Networks., and . IEEE Trans. Neural Networks Learn. Syst., 31 (8): 3127-3141 (2020)Convex Duality of Deep Neural Networks., and . CoRR, (2020)Efficient Online Learning Algorithms Based on LSTM Neural Networks., and . IEEE Trans. Neural Networks Learn. Syst., 29 (8): 3772-3783 (2018)A novel distributed anomaly detection algorithm based on support vector machines., and . Digit. Signal Process., (2020)