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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 Manifold Identification for Ultimately Communication-Efficient Distributed Optimization
Yu-Sheng Li · Wei-Lin Chiang · Ching-pei Lee
Poster
Tue 8:00 Distributed Online Optimization over a Heterogeneous Network
Nima Eshraghi · Ben Liang
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 10:00 Federated Learning with Only Positive Labels
Felix Xinnan Yu · Ankit Singh Rawat · Aditya Menon · Sanjiv Kumar
Poster
Tue 10:00 SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Reddy Karimireddy · Satyen Kale · Mehryar Mohri · Sashank Jakkam Reddi · Sebastian Stich · Ananda Theertha Suresh
Poster
Tue 10:00 Fully Parallel Hyperparameter Search: Reshaped Space-Filling
Marie-Liesse Cauwet · Camille Couprie · Julien Dehos · Pauline Luc · Jeremy Rapin · Morgane Riviere · Fabien Teytaud · Olivier Teytaud · Nicolas Usunier
Poster
Wed 5:00 Moniqua: Modulo Quantized Communication in Decentralized SGD
Yucheng Lu · Christopher De Sa
Poster
Wed 8:00 Communication-Efficient Distributed PCA by Riemannian Optimization
Long-Kai Huang · Jialin Pan
Poster
Wed 8:00 Decoupled Greedy Learning of CNNs
Eugene Belilovsky · Michael Eickenberg · Edouard Oyallon
Poster
Wed 8:00 The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh · Amar Phanishayee · Onur Mutlu · Phillip Gibbons
Poster
Wed 10:00 AdaScale SGD: A User-Friendly Algorithm for Distributed Training
Tyler Johnson · Pulkit Agrawal · Haijie Gu · Carlos Guestrin