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conftrace_

distributed learning

611 papers

Papers

My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits ICML 2020 On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond JMLR 2020 One-shot Distributed Ridge Regression in High Dimensions ICML 2020 Online Convex Optimization Over Erdos-Renyi Random Networks NeurIPS 2020 Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020 Projection-free Distributed Online Convex Optimization with O(√T) Communication Complexity ICML 2020 Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020 Simultaneous Inference for Massive Data: Distributed Bootstrap ICML 2020 Statistical Guarantees of Distributed Nearest Neighbor Classification NeurIPS 2020 Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020 The Error-Feedback framework: SGD with Delayed Gradients JMLR 2020 Tighter Theory for Local SGD on Identical and Heterogeneous Data AISTATS 2020 WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions JMLR 2020 Zeno++: Robust Fully Asynchronous SGD ICML 2020 Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives AISTATS 2019 A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery ICLR 2019 A Little Is Enough: Circumventing Defenses For Distributed Learning NeurIPS 2019 An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NeurIPS 2019 Analysis of Quantized Models ICLR 2019 An asymptotic analysis of distributed nonparametric methods JMLR 2019 A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression AAAI 2019 Bayesian Nonparametric Federated Learning of Neural Networks ICML 2019 Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019 Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NeurIPS 2019 Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NeurIPS 2019