%0 Book Section %1 NIPS2017_6617 %A Blanchard, Peva %A El Mhamdi, El Mahdi %A Guerraoui, Rachid %A Stainer, Julien %B Advances in Neural Information Processing Systems 30 %D 2017 %E Guyon, I. %E Luxburg, U. V. %E Bengio, S. %E Wallach, H. %E Fergus, R. %E Vishwanathan, S. %E Garnett, R. %I Curran Associates, Inc. %K ML %P 119--129 %T Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent %U http://papers.nips.cc/paper/6617-machine-learning-with-adversaries-byzantine-tolerant-gradient-descent.pdf

@incollection{NIPS2017_6617, added-at = {2019-11-25T22:47:57.000+0100}, author = {Blanchard, Peva and El Mhamdi, El Mahdi and Guerraoui, Rachid and Stainer, Julien}, biburl = {https://www.bibsonomy.org/bibtex/256ab7e669f96d2bed4526ec9cb0d6832/rpennec}, booktitle = {Advances in Neural Information Processing Systems 30}, editor = {Guyon, I. and Luxburg, U. V. and Bengio, S. and Wallach, H. and Fergus, R. and Vishwanathan, S. and Garnett, R.}, interhash = {4f0dcf28a452438a69ae8400911c5ffb}, intrahash = {56ab7e669f96d2bed4526ec9cb0d6832}, keywords = {ML}, pages = {119--129}, publisher = {Curran Associates, Inc.}, timestamp = {2019-12-04T07:59:16.000+0100}, title = {Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent}, url = {http://papers.nips.cc/paper/6617-machine-learning-with-adversaries-byzantine-tolerant-gradient-descent.pdf}, year = 2017 }