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

MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021

Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021

Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021

Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NIPS 2021

Linear Regression over Networks with Communication Guarantees L4DC 2021

Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning L4DC 2021

Near Optimal Distributed Learning of Halfspaces with Two Parties COLT 2021

Asynchronous Stochastic Optimization Robust to Arbitrary Delays NIPS 2021

Decentralized Multi-Agent Linear Bandits with Safety Constraints AAAI 2021

EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback NIPS 2021

Collaborative Novelty Detection for Distributed Data by a Probabilistic Method ACML 2021

Model Linkage Selection for Cooperative Learning JMLR 2021

FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection JMLR 2021

Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo) AAAI 2021

CADA: Communication-Adaptive Distributed Adam AISTATS 2021

Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency AISTATS 2021

Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization AISTATS 2021

One-Round Communication Efficient Distributed M-Estimation AISTATS 2021

Test-time Collective Prediction NIPS 2021

Communication efficient parallel reinforcement learning UAI 2021

Asynchronous Active Learning with Distributed Label Querying IJCAI 2021

Distributed Deep Learning In Open Collaborations NIPS 2021

SGD with low-dimensional gradients with applications to private and distributed learning UAI 2021

ATP: In-network Aggregation for Multi-tenant Learning NSDI 2021

Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021