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Federated learning (FL) is an emerging collaborative machine learning method to train models on distributed datasets with privacy concerns.
Bitcoin: A peer-to-peer electronic cash system
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Deep learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
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Practical secure aggregation for privacy-preserving machine learning
Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth · 2017
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Communication-efficient learning of deep networks from decentralized data
Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Agüera y Arcas · 2017
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Majority is not enough: bitcoin mining is vulnerable
Ittay Eyal and Emin Gün Sirer · 2018
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Federated learning with non-iid data
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, and Vikas Chandra · 2018
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Explaining deep neural networks with a polynomial time algorithm for shapley value approximation
Marco Ancona, Cengiz Öztireli, and Markus H. Gross · 2019
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Flchain: A blockchain for auditable federated learning with trust and incentive
Xianglin Bao, Cheng Su, Yan Xiong, Wenchao Huang, and Yifei Hu · 2019
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Towards federated learning at scale: System design
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, and Jason Roselander · 2019
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Blockchain analytics and artificial intelligence
Donna Dillenberger, Petr Novotny, Qi Zhang, Praveen Jayachandran, Himanshu Gupta, Sameep Mehta, Sandeep Hans, Supriyo Chakraborty, Matthew Walli, John Thomas, et al · 2019
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Towards efficient data valuation based on the shapley value
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, and Costas J. Spanos · 2019
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Blockchained on-device federated learning
Hyesung Kim, Jihong Park, Mehdi Bennis, and Seong-Lyun Kim · 2019
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Shapley interpretation and activation in neural networks
Yadong Li and Xin Cui · 2019
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Baffle: Blockchain based aggregator free federated learning
Paritosh Ramanan, Kiyoshi Nakayama, and Ratnesh Sharma · 2019
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Profit allocation for federated learning
Tianshu Song, Yongxin Tong, and Shuyue Wei · 2019
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Federated machine learning: Concept and applications
Qiang Yang, Yang Liu, Tianjian Chen, and Yongxin Tong · 2019
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Federated Learning
Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, and Han Yu · 2019
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Peter Kairouz, H. Brendan McMahan, Brendan Avent, et al · 2019
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Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory
Jiawen Kang, Zehui Xiong, Dusit Niyato, Shengli Xie, and Junshan Zhang · 2019
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Federated learning for edge networks: Resource optimization and incentive mechanism
Latif U. Khan, Nguyen H. Tran, Shashi Raj Pandey, Walid Saad, Zhu Han, Minh N. H. Nguyen, and Choong Seon Hong · 2019
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A fairness-aware incentive scheme for federated learning
Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Dusit Niyato, and Yang Qiang · 2020
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