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Poster
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Tue 7:00 |
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization Yu-Sheng Li, Wei-Lin Chiang, Ching-pei Lee |
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Poster
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Tue 7:00 |
FetchSGD: Communication-Efficient Federated Learning with Sketching Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora |
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Poster
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Tue 7:00 |
Scalable Nearest Neighbor Search for Optimal Transport Arturs Backurs, Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner |
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Poster
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Tue 8:00 |
Is Local SGD Better than Minibatch SGD? Blake Woodworth, Kumar Kshitij Patel, Sebastian Stich, Zhen Dai, Brian Bullins, Brendan McMahan, Ohad Shamir, Nati Srebro |
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Poster
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Tue 9:00 |
Fast OSCAR and OWL Regression via Safe Screening Rules Runxue Bao, Bin Gu, Heng Huang |
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Poster
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Tue 9:00 |
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 14:00 |
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit Dhillon |
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Poster
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Wed 5:00 |
Moniqua: Modulo Quantized Communication in Decentralized SGD Yucheng Lu, Christopher De Sa |
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Poster
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Wed 5:00 |
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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Poster
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Wed 5:00 |
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 8:00 |
Communication-Efficient Distributed PCA by Riemannian Optimization Long-Kai Huang, Sinno Jialin Pan |
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Poster
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Wed 8:00 |
On Coresets for Regularized Regression Rachit Chhaya, Supratim Shit, Anirban Dasgupta |
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Poster
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Wed 8:00 |
Decoupled Greedy Learning of CNNs Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon |
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Poster
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Wed 8:00 |
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phil Gibbons |
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Poster
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Wed 10:00 |
Quantized Decentralized Stochastic Learning over Directed Graphs Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani |
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Poster
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Wed 10:00 |
AdaScale SGD: A User-Friendly Algorithm for Distributed Training Tyler Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin |
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Poster
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Wed 11:00 |
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization Hadrien Hendrikx, Lin Xiao, Sebastien Bubeck, Francis Bach, Laurent Massoulié |
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Poster
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Wed 12:00 |
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 13:00 |
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova, Nicolas Loizou, Sadra Boreiri, Martin Jaggi, Sebastian Stich |
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Poster
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Wed 15:00 |
DINO: Distributed Newton-Type Optimization Method Rixon Crane, Fred Roosta |
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Poster
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Thu 6:00 |
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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Thu 7:00 |
Simultaneous Inference for Massive Data: Distributed Bootstrap Yang Yu, Shih-Kang Chao, Guang Cheng |
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Poster
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Thu 8:00 |
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang |
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Poster
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Thu 8:00 |
One-shot Distributed Ridge Regression in High Dimensions Yue Sheng, Edgar Dobriban |
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Poster
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Thu 9:00 |
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan |
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Poster
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Thu 12:00 |
Randomized Block-Diagonal Preconditioning for Parallel Learning Celestine Mendler-Dünner, Aurelien Lucchi |
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Poster
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Thu 12:00 |
Composable Sketches for Functions of Frequencies: Beyond the Worst Case Edith Cohen, Ofir Geri, Rasmus Pagh |