More from the Same Authors

• 2021 Poster: Differentially Private Learning with Adaptive Clipping »
  Galen Andrew · Om Thakkar · Brendan McMahan · Swaroop Ramaswamy
• 2020 Tutorial: (Track1) Federated Learning and Analytics: Industry Meets Academia Q&A »
  Peter Kairouz · Brendan McMahan · Virginia Smith
• 2020 Poster: Privacy Amplification via Random Check-Ins »
  Borja Balle · Peter Kairouz · Brendan McMahan · Om Thakkar · Abhradeep Guha Thakurta
• 2020 Tutorial: (Track1) Federated Learning and Analytics: Industry Meets Academia »
  Brendan McMahan · Virginia Smith · Peter Kairouz
• 2019 Workshop: Workshop on Federated Learning for Data Privacy and Confidentiality »
  Lixin Fan · Jakub Konečný · Yang Liu · Brendan McMahan · Virginia Smith · Han Yu
• 2018 : Brendan McMahan »
  Brendan McMahan
• 2018 Poster: Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization »
  Blake Woodworth · Jialei Wang · Adam Smith · Brendan McMahan · Nati Srebro
• 2018 Spotlight: Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization »
  Blake Woodworth · Jialei Wang · Adam Smith · Brendan McMahan · Nati Srebro
• 2018 Poster: cpSGD: Communication-efficient and differentially-private distributed SGD »
  Naman Agarwal · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan
• 2018 Spotlight: cpSGD: Communication-efficient and differentially-private distributed SGD »
  Naman Agarwal · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan
• 2014 Poster: Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning »
  Brendan McMahan · Matthew Streeter
• 2013 Poster: Minimax Optimal Algorithms for Unconstrained Linear Optimization »
  Brendan McMahan · Jacob D Abernethy
• 2013 Poster: Estimation, Optimization, and Parallelism when Data is Sparse »
  John Duchi · Michael Jordan · Brendan McMahan
• 2012 Poster: No-Regret Algorithms for Unconstrained Online Convex Optimization »
  Matthew Streeter · Brendan McMahan