PAC Learning from Distributed Data in the Presence of Malicious Nodes
暂无分享,去创建一个
[1] Maria-Florina Balcan,et al. Distributed Learning, Communication Complexity and Privacy , 2012, COLT.
[2] Rachid Guerraoui,et al. Fast and Secure Distributed Learning in High Dimension , 2019, ArXiv.
[3] Nitin H. Vaidya,et al. Fault-Tolerant Multi-Agent Optimization: Optimal Iterative Distributed Algorithms , 2016, PODC.
[4] Dan Alistarh,et al. Byzantine Stochastic Gradient Descent , 2018, NeurIPS.
[5] Nitin H. Vaidya,et al. Byzantine Multi-Agent Optimization: Part I , 2015, ArXiv.
[6] Waheed Uz Zaman Bajwa,et al. ByRDiE: Byzantine-Resilient Distributed Coordinate Descent for Decentralized Learning , 2017, IEEE Transactions on Signal and Information Processing over Networks.
[7] B. Gharesifard,et al. Distributed Optimization Under Adversarial Nodes , 2016, IEEE Transactions on Automatic Control.
[8] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[9] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[10] Leslie Lamport,et al. The Byzantine Generals Problem , 1982, TOPL.
[11] Cong Xie,et al. Zeno++: robust asynchronous SGD with arbitrary number of Byzantine workers , 2019, ArXiv.
[12] Kannan Ramchandran,et al. Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates , 2018, ICML.
[13] Umesh V. Vazirani,et al. An Introduction to Computational Learning Theory , 1994 .
[14] Lili Su,et al. Distributed Statistical Machine Learning in Adversarial Settings , 2017, Proc. ACM Meas. Anal. Comput. Syst..
[15] Asuman E. Ozdaglar,et al. Distributed Subgradient Methods for Multi-Agent Optimization , 2009, IEEE Transactions on Automatic Control.
[16] Nitin H. Vaidya,et al. Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks , 2015, ArXiv.
[17] Qing Ling,et al. EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization , 2014, 1404.6264.
[18] Vladimir Cherkassky,et al. The Nature Of Statistical Learning Theory , 1997, IEEE Trans. Neural Networks.