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Poster
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Tue 9:00
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Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
Aleksandr Beznosikov · Peter Richtarik · Michael Diskin · Max Ryabinin · Alexander Gasnikov
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Workshop
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Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan
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Workshop
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Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation
Rustem Islamov · Xun Qian · Slavomír Hanzely · Mher Safaryan · Peter Richtarik
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Poster
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Tue 9:00
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Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees
Jue WANG · Binhang Yuan · Luka Rimanic · Yongjun He · Tri Dao · Beidi Chen · Christopher Ré · Ce Zhang
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Poster
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Thu 14:00
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Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
Grigory Malinovsky · Kai Yi · Peter Richtarik
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Poster
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Tue 14:00
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EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
Laurent Condat · Kai Yi · Peter Richtarik
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Poster
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Distributed Online Convex Optimization with Compressed Communication
Zhipeng Tu · Xi Wang · Yiguang Hong · Lei Wang · Deming Yuan · Guodong Shi
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Poster
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Tue 14:00
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BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao · Boyue Li · Zhize Li · Peter Richtarik · Yuejie Chi
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Poster
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Tue 9:00
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SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
Zhize Li · Haoyu Zhao · Boyue Li · Yuejie Chi
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Poster
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Wed 9:00
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Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
Xinmeng Huang · Yiming Chen · Wotao Yin · Kun Yuan
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