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Poster
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Thu 18:30
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Linear-Complexity Data-Parallel Earth Mover's Distance Approximations
Kubilay Atasu · Thomas Mittelholzer
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Poster
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Wed 18:30
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Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho · Eric Liang · Peter Chen · Ion Stoica · Pieter Abbeel
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Poster
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Wed 18:30
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Distributed Weighted Matching via Randomized Composable Coresets
Sepehr Assadi · Mohammad Hossein Bateni · Vahab Mirrokni
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Workshop
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Sat 14:00
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Alex Dimakis: Coding Theory for Distributed Learning
Alexandros Dimakis
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Poster
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Tue 18:30
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Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
Anastasiia Koloskova · Sebastian Stich · Martin Jaggi
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Workshop
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Fri 15:30
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Sergei Levine: Distribution Matching and Mutual Information in Reinforcement Learning
Sergey Levine
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Workshop
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Sat 9:00
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Salman Avestimehr: Lagrange Coded Computing: Optimal Design for Resilient, Secure, and Private Distributed Learning
Salman Avestimehr
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Poster
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Tue 18:30
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SAGA with Arbitrary Sampling
Xun Qian · Zheng Qu · Peter Richtarik
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Poster
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Wed 18:30
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Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance
Cong Xie · Sanmi Koyejo · Indranil Gupta
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Workshop
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Sat 14:30
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Wei Zhang: Distributed deep learning system building at IBM: Scale-up and Scale-out case studies
Wei Zhang
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Poster
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Thu 18:30
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Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
Dong Yin · Yudong Chen · Kannan Ramchandran · Peter Bartlett
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Oral
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Thu 9:00
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Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
Dong Yin · Yudong Chen · Kannan Ramchandran · Peter Bartlett
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