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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Optimal Complexity in Decentralized Training
In Optimization (Distributed)
Yucheng Lu · Christopher De Sa
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
In Optimization (Distributed)
Mher Safaryan · Peter Richtarik
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
In Optimization (Distributed)
Tomoya Murata · Taiji Suzuki
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
In Optimization (Distributed)
Ran Xin · Usman Khan · Soummya Kar
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
In Optimization (Distributed)
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Newton Method over Networks is Fast up to the Statistical Precision
In Optimization (Distributed)
Amir Daneshmand · Gesualdo Scutari · Pavel Dvurechenskii · Alexander Gasnikov
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Federated Learning under Arbitrary Communication Patterns
In Optimization (Distributed)
Dmitrii Avdiukhin · Shiva Kasiviswanathan
[ Paper ]
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Optimization (Distributed)