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Poster
Tue 7:00 Manifold Identification for Ultimately Communication-Efficient Distributed Optimization
Yu-Sheng Li · Wei-Lin Chiang · Ching-pei Lee
Poster
Tue 7:00 FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild · Ashwinee Panda · Enayat Ullah · Nikita Ivkin · Ion Stoica · Vladimir Braverman · Joseph E Gonzalez · Raman Arora
Poster
Tue 7:00 Scalable Nearest Neighbor Search for Optimal Transport
Arturs Backurs · Yihe Dong · Piotr Indyk · Ilya Razenshteyn · Tal Wagner
Poster
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
Poster
Tue 9:00 Nearly Linear Row Sampling Algorithm for Quantile Regression
Yi Li · Ruosong Wang · Lin Yang · Hanrui Zhang
Poster
Tue 9:00 Fast OSCAR and OWL Regression via Safe Screening Rules
Runxue Bao · Bin Gu · Heng Huang
Poster
Tue 14:00 Extreme Multi-label Classification from Aggregated Labels
Yanyao Shen · Hsiang-Fu Yu · Sujay Sanghavi · Inderjit Dhillon
Poster
Wed 5:00 Moniqua: Modulo Quantized Communication in Decentralized SGD
Yucheng Lu · Christopher De Sa
Poster
Wed 5:00 Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension
Vladimir Braverman · Robert Krauthgamer · Aditya Krishnan · Roi Sinoff
Poster
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
Poster
Wed 8:00 Communication-Efficient Distributed PCA by Riemannian Optimization
Long-Kai Huang · Jialin Pan
Poster
Wed 8:00 On Coresets for Regularized Regression
Rachit Chhaya · Supratim Shit · Anirban Dasgupta