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Oral
Tue 5:00 Optimal Complexity in Decentralized Training
Yucheng Lu · Christopher De Sa
Spotlight
Tue 5:20 Stochastic Sign Descent Methods: New Algorithms and Better Theory
Mher Safaryan · Peter Richtarik
Spotlight
Tue 5:25 Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
Tomoya Murata · Taiji Suzuki
Spotlight
Tue 5:30 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar
Spotlight
Tue 5:35 Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
Spotlight
Tue 5:40 Newton Method over Networks is Fast up to the Statistical Precision
Amir Daneshmand · Gesualdo Scutari · Pavel Dvurechenskii · Alexander Gasnikov
Spotlight
Tue 5:45 Federated Learning under Arbitrary Communication Patterns
Dmitrii Avdiukhin · Shiva Kasiviswanathan
Poster
Tue 9:00 Decentralized Riemannian Gradient Descent on the Stiefel Manifold
Shixiang Chen · Alfredo Garcia · Mingyi Hong · Shahin Shahrampour
Poster
Tue 9:00 Federated Learning under Arbitrary Communication Patterns
Dmitrii Avdiukhin · Shiva Kasiviswanathan
Poster
Tue 9:00 Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
Tomoya Murata · Taiji Suzuki
Poster
Tue 9:00 Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
Poster
Tue 9:00 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar