@InProceedings{maurer:LIPIcs.OPODIS.2021.4,
  author =	{Maurer, Alexandre},
  title =	{{Arbitrarily Accurate Aggregation Scheme for Byzantine SGD}},
  booktitle =	{25th International Conference on Principles of Distributed Systems (OPODIS 2021)},
  pages =	{4:1--4:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-219-8},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{217},
  editor =	{Bramas, Quentin and Gramoli, Vincent and Milani, Alessia},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2021.4},
  URN =		{urn:nbn:de:0030-drops-157793},
  doi =		{10.4230/LIPIcs.OPODIS.2021.4},
  annote =	{Keywords: distributed machine learning, Byzantine failures, stochastic gradient descent}
}