Reference¶

[1]. Jakub Konen, H. Brendan McMahan, Daniel Ramage, Peter Richtik. Federated Optimization: Distributed Machine Learning for On-Device Intelligence. 2016

[2]. H. Brendan McMahan, Eider Moore, Daniel Ramage, Blaise Agera y Arcas. Federated Learning of Deep Networks using Model Averaging. 2017

[3]. Jakub Konen, H. Brendan McMahan, Felix X. Yu, Peter Richtik, Ananda Theertha Suresh, Davepen Bacon. Federated Learning: Strategies for Improving Communication Efficiency. 2016

[4]. Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong. Federated Machine Learning: Concept and Applications. 2019

[5]. Kai He, Liu Yang, Jue Hong, Jinghua Jiang, Jieming Wu, Xu Dong et al. PrivC - A framework for efficient Secure Two-Party Computation. In Proceedings of 15th EAI International Conference on Security and Privacy in Communication Networks. SecureComm 2019

[6]. Mart Abadi, Andy Chu, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang. Deep Learning with Differential Privacy. 2016

[7]. Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet Talwalkar. Federated Multi-Task Learning 2016

[8]. Yang Liu, Tianjian Chen, Qiang Yang. Secure Federated Transfer Learning. 2018