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Poster
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Tue 7:00
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FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild · Ashwinee Panda · Enayat Ullah · Nikita Ivkin · Ion Stoica · Vladimir Braverman · Joseph E Gonzalez · Raman Arora
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Poster
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Wed 5:00
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Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension
Vladimir Braverman · Robert Krauthgamer · Aditya Krishnan · Roi Sinoff
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Poster
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Wed 13:00
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A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasiia Koloskova · Nicolas Loizou · Sadra Boreiri · Martin Jaggi · Sebastian Stich
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Poster
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Wed 12:00
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Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
Zhize Li · Dmitry Kovalev · Xun Qian · Peter Richtarik
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Poster
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Wed 15:00
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DINO: Distributed Newton-Type Optimization Method
Rixon Crane · Fred Roosta
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Poster
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Thu 6:00
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Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
Daoli Zhu · Lei Zhao
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Poster
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Tue 9:00
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Nearly Linear Row Sampling Algorithm for Quantile Regression
Yi Li · Ruosong Wang · Lin Yang · Hanrui Zhang
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Poster
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Tue 9:00
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Fast OSCAR and OWL Regression via Safe Screening Rules
Runxue Bao · Bin Gu · Heng Huang
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Poster
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Wed 5:00
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Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript
Fangcheng Fu · Yuzheng Hu · Yihan He · Jiawei Jiang · Yingxia Shao · Ce Zhang · Bin Cui
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Workshop
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Fri 10:45
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Spotlight Talk 3 - Visualizing Classification Structure in Large-Scale Classifiers
Bilal Alsallakh
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Poster
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Thu 8:00
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One-shot Distributed Ridge Regression in High Dimensions
Yue Sheng · Edgar Dobriban
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Workshop
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Fri 14:00
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Industry Panel - Talk by Boris Ginsburg - Large scale deep learning: new trends and optimization challenges
Boris Ginsburg
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