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Federated machine learning is a technique for training a model across multiple devices without exchanging data between them.
ZeroMQ: messaging for many applications
Pieter Hintjens · 2013
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Communication-efficient learning of deep networks from decentralized data
Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas · 2017
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Collaborative deep learning in fixed topology networks
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, and Soumik Sarkar · 2017
Earlier work this paper cites.
Gossipgrad: Scalable deep learning using gossip communication based asynchronous gradient descent
Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, and Vinay Amatya · 2018
Earlier work this paper cites.
Reverse engineering convolutional neural networks through side-channel information leaks
Weizhe Hua, Zhiru Zhang, and G Edward Suh · 2018
Cited alongside, same era.
Decentralized federated learning: A segmented gossip approach
Chenghao Hu, Jingyan Jiang, and Zhi Wang · 2019
Cited alongside, same era.
Peer-to-peer federated learning on graphs
Anusha Lalitha, Osman Cihan Kilinc, Tara Javidi, and Farinaz Koushanfar · 2019
Cited alongside, same era.
Braintorrent: A peer-to-peer environment for decentralized federated learning
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, and Christian Wachinger · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Federated learning: Collaborative machine learning without centralized training data
Brendan McMahan and Daniel Ramage · 2020
Later among the works it cites.
Pysyft: A library for easy federated learning
Alexander Ziller, Andrew Trask, Antonio Lopardo, Benjamin Szymkow, Bobby Wagner, Emma Bluemke, Jean-Mickael Nounahon, Jonathan Passerat-Palmbach, Kritika Prakash, Nick Rose, et al · 2021
Closest in time.
Federated learning for internet of things: Recent advances, taxonomy, and open challenges
Latif U Khan, Walid Saad, Zhu Han, Ekram Hossain, and Choong Seon Hong · 2021
Closest in time.
Local and central differential privacy for robustness and privacy in federated learning, 2021
Mohammad Naseri, Jamie Hayes, and Emiliano De Cristofaro · 2021
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Cited alongside, same era.