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distributed learning

563 papers

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Also known as

DL-DCL DML

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) communication efficiency (297) distributed optimization (275) stochastic optimization (1060) decentralized optimization (113) communication complexity (99) distributed training (187) gradient compression (78) gradient descent (1143)

Papers

Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints NIPS 2022
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning NIPS 2022
A Resilient Distributed Boosting Algorithm ICML 2022
Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research AUTOML 2022
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning NIPS 2022
Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits NIPS 2022
Detached Error Feedback for Distributed SGD with Random Sparsification ICML 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent ICML 2022
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NIPS 2022
Data-splitting improves statistical performance in overparameterized regimes AISTATS 2022
Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization AISTATS 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022
FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction CVPR 2022
Solving Multi-Arm Bandit Using a Few Bits of Communication AISTATS 2022
Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees JMLR 2022
Distributed Learning with Strategic Users: A Repeated Game Approach AAAI 2022
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022
Distributed Learning of Finite Gaussian Mixtures JMLR 2022
Efficient Device Scheduling with Multi-Job Federated Learning AAAI 2022
Federated Learning with Buffered Asynchronous Aggregation AISTATS 2022