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In this paper, a new learning algorithm for Federated Learning (FL) is introduced.
Active Reinforcement Learning
Epshteyn, A., Vogel, A., and DeJong, G · 2008
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Bandwidth Optimal All-reduce Algorithms for Clusters of Workstations
Patarasuk, P. and Yuan, X · 2009
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Sequence Transduction with Recurrent Neural Networks
Graves, A · 2012
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Communication Efficient Distributed Optimization Using an Approximate Newton-type Method
Shamir, O., Srebro, N., and Zhang, T · 2013
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Bouchard, G., Trouillon, T., Perez, J., and Gaidon, A · 2015
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Chan, W., Jaitly, N., Le, Q. V., and Vinyals, O · 2015
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Federated Optimization: Distributed Optimization Beyond the Datacenter
Konecny, J., McMahan, B. H., and Ramage, D · 2015
Earlier work this paper cites.
LibriSpeech: an ASR corpus based on public domain audio books
Panayotov, V., Chen, G., Povey, D., and Khudanpur, S · 2015
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Tensorflow: A System for Large-Scale Machine Learning
Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., and Zheng, X · 2016
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Variance Reduction In SGD by Distributed Importance Sampling
Alain, G., Lamb, A., Sankar, C., Courville, A., and Bengio, Y · 2016
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Scalable training of deep learning machines by incremental block training with intra-block parallel optimization and blockwise model-update filtering
Chen, K. and Huo, Q · 2016
Cited alongside, same era.
Semi-Supervised Training in Deep Learning Acoustic Model
Huang, Y., Wang, Y., and Gong, Y · 2016
Cited alongside, same era.
Online Deep Learning: Learning Deep Neural Networks on the Fly
Sahoo, D., Pham, Q., Lu, J., and Ho, S · 2017
Cited alongside, same era.
State-of-the-art speech recognition with sequence-to-sequence models
Chiu, C., Sainath, T., Wu, Y., Prabhavalkar, R. Nguyen, P., Chen, Z., Kannan, A., Weiss, R.J. Rao, K., Gonina, E., Jaitly, N., Li, B., Chorowski, D., and Bacchiani, M · 2018
Cited alongside, same era.
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Speech Recognition with Augmented Synthesized Speech
Rosenberg, A., Zhang, Y. Ramabhadran, B., Jia, Y., Moreno, P., Wu, Y., and Wu, Z · 2019
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Layer trajectory blstm
Sun, E., Li, J., and Gong, Y · 2019
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Meeting Transcription Using Asynchronous Distant Microphones
Yoshioka, T., Dimitriadis, D., Stolcke, A., Hinthorn, W., Chen, Z., Zeng, M., and Xuedong, H · 2019
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Federated Transfer Learning with Dynamic Gradient Aggregation
Dimitriadis, D., Kumatani, K., Gmyr, R., Gaur, Y., and Eskimez, E. S · 2020
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Sequence-level self-learning with multi-task learning framework
Kumatani, K., Dimitriadis, D., Gaur, Y., Gmyr, R., Eskimez, S. E., Li, J., and Zeng, M · 2020
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Hsu, Y., Liu, Y., Ramasamy, A., and Kira, Z · 2018
Cited alongside, same era.
Continual Lifelong Learning with Neural Networks: A Review
Parisi, G., Kemker, R., Part, J., Kanan, C., and Wermter, S · 2018
Cited alongside, same era.
Horovod: Fast and Easy Distributed Deep Learning in TensorFlow
Sergeev, A. and Bals, M. D · 2018
Cited alongside, same era.
Demystifying Parallel and Distributed Deep Learning: An In-depth Concurrency Analysis
Ben-Nun, T. and Hoefler, T · 2019
Cited alongside, same era.
Federated Learning for Keyword Spotting
Leroy, D., Coucke, A., Lavril, T., T., G., and Dureau, J · 2019
Cited alongside, same era.
Federated Learning: Challenges, Methods, and Future Directions
Li, T., Sahu, A. K., Talwalkar, A., and Smith, V · 2019
Cited alongside, same era.
Li, Q., Wen, Z., Wu, Z., Hu, S., Wang, N., and He, B · 2020
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Asynchronous Decentralized Learning of a Neural Network
Liang, X., Javid, A. M., Skoglund, M., and Chatterjee, S · 2020
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Adaptive Federated Optimization
Reddi, S. J., Charles, Z., Zaheer, M., Garrett, Z., Rush, K., Konecny, J., Kumar, S., and B., M. H · 2020
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A Guide to GDPR Data Privacy Requirements
Wolford, B · 2021
Closest in time.
Ensemble combination between different time segmentations
Wong, J. H. M., Dimitriadis, D., Kumatani, K., Gaur, Y., Polovets, G., Parthasarathy, P., Sun, E., Li, J., and Gong, Y · 2021
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