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Jan Baumbach | David B. Blumenthal | Reza Nasirigerdeh | Reihaneh Torkzadehmahani | Markus List | Mohammad Bakhtiari | Amirhossein Bayat
[1] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[2] Andreas Holzinger,et al. Privacy-Preserving Artificial Intelligence Techniques in Biomedicine , 2020, Methods of information in medicine.
[3] Léon Bottou,et al. Stochastic Gradient Descent Tricks , 2012, Neural Networks: Tricks of the Trade.
[4] Richard Nock,et al. Advances and Open Problems in Federated Learning , 2019, Found. Trends Mach. Learn..
[5] Peter Richtárik,et al. Federated Learning: Strategies for Improving Communication Efficiency , 2016, ArXiv.
[6] Jakub Konecný,et al. Federated Optimization: Distributed Optimization Beyond the Datacenter , 2015, ArXiv.
[7] Roland Vollgraf,et al. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms , 2017, ArXiv.
[8] Anit Kumar Sahu,et al. Federated Optimization in Heterogeneous Networks , 2018, MLSys.
[9] Hubert Eichner,et al. Federated Learning for Mobile Keyboard Prediction , 2018, ArXiv.
[10] Yasaman Khazaeni,et al. Federated Learning with Matched Averaging , 2020, ICLR.
[11] Xiang Li,et al. On the Convergence of FedAvg on Non-IID Data , 2019, ICLR.
[12] Hubert Eichner,et al. APPLIED FEDERATED LEARNING: IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS , 2018, ArXiv.
[13] Wei Shi,et al. Federated learning of predictive models from federated Electronic Health Records , 2018, Int. J. Medical Informatics.
[14] Xin Qin,et al. FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare , 2019, IEEE Intelligent Systems.
[15] Sebastian Ruder,et al. An overview of gradient descent optimization algorithms , 2016, Vestnik komp'iuternykh i informatsionnykh tekhnologii.
[16] Pat Langley,et al. Crafting Papers on Machine Learning , 2000, ICML.
[17] Spyridon Bakas,et al. Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation , 2018, BrainLes@MICCAI.
[18] Amar Phanishayee,et al. The Non-IID Data Quagmire of Decentralized Machine Learning , 2019, ICML.
[19] Blaise Agüera y Arcas,et al. Communication-Efficient Learning of Deep Networks from Decentralized Data , 2016, AISTATS.