Distributed Learning
1,202 papers
Papers per year
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27
24
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72
99
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115
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Papers
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms
JMLR 2021
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
NeurIPS 2021
Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
AISTATS 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
ICML 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training
ICCV 2021
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification
AAAI 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
ICML 2021
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning
NeurIPS 2021
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
NeurIPS 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
ICML 2021
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
ICML 2021
Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems
RSS 2021
Distributed Deep Learning In Open Collaborations
NeurIPS 2021
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
NeurIPS 2021
Distributed Machine Learning with Sparse Heterogeneous Data
NeurIPS 2021
Distributed Nyström Kernel Learning with Communications
ICML 2021
Distributed Principal Component Analysis with Limited Communication
NeurIPS 2021
Distributed Ranking with Communications: Approximation Analysis and Applications
AAAI 2021
Distributed Saddle-Point Problems Under Data Similarity
NeurIPS 2021
Distributed Zero-Order Optimization under Adversarial Noise
NeurIPS 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
OSDI 2021
DRIVE: One-bit Distributed Mean Estimation
NeurIPS 2021
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition
AAAI 2021
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
NeurIPS 2021
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent
AAAI 2021