Skip to yearly menu bar Skip to main content


(8 events)   Timezone:  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
Oral
Tue Jul 20 09:00 PM -- 09:20 PM (KST)
Optimal Complexity in Decentralized Training
In Optimization (Distributed)
Yucheng Lu · Christopher De Sa
[ Paper ]
Spotlight
Tue Jul 20 09:20 PM -- 09:25 PM (KST)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
In Optimization (Distributed)
Mher Safaryan · Peter Richtarik
[ Paper ]
Spotlight
Tue Jul 20 09:25 PM -- 09:30 PM (KST)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
In Optimization (Distributed)
Tomoya Murata · Taiji Suzuki
[ Paper ]
Spotlight
Tue Jul 20 09:30 PM -- 09:35 PM (KST)
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 09:35 PM -- 09:40 PM (KST)
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 09:40 PM -- 09:45 PM (KST)
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 09:45 PM -- 09:50 PM (KST)
Federated Learning under Arbitrary Communication Patterns
In Optimization (Distributed)
Dmitrii Avdiukhin · Shiva Kasiviswanathan
[ Paper ]
Q&A
Tue Jul 20 09:50 PM -- 09:55 PM (KST)
Q&A
In Optimization (Distributed)