Distributed Learning
1,202 papers
Papers per year
1
3
3
5
6
4
9
21
27
24
46
51
72
99
115
127
135
159
147
115
33
'10
'15
'20
'25
Papers
Assisted Learning: A Framework for Multi-Organization Learning
NeurIPS 2020
A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters
OSDI 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
ICML 2020
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection
AAAI 2020
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning
NeurIPS 2020
Breaking the Communication-Privacy-Accuracy Trilemma
NeurIPS 2020
Bundle Adjustment on a Graph Processor
CVPR 2020
Byzantine Ordered Consensus without Byzantine Oligarchy
OSDI 2020
Byzantine Resilient Distributed Multi-Task Learning
NeurIPS 2020
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract)
IJCAI 2020
Coded Sequential Matrix Multiplication For Straggler Mitigation
NeurIPS 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
AISTATS 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
JMLR 2020
Communication-Efficient Distributed PCA by Riemannian Optimization
ICML 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
ICML 2020
Coresets for Regressions with Panel Data
NeurIPS 2020
CSER: Communication-efficient SGD with Error Reset
NeurIPS 2020
Data-driven confidence bands for distributed nonparametric regression
COLT 2020
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization
NeurIPS 2020
Decentralised Learning with Random Features and Distributed Gradient Descent
ICML 2020
Decentralized Accelerated Proximal Gradient Descent
NeurIPS 2020
Decentralized Deep Learning with Arbitrary Communication Compression
ICLR 2020
Decentralized gradient methods: does topology matter?
AISTATS 2020
Decentralized Langevin Dynamics for Bayesian Learning
NeurIPS 2020
Delay-Adaptive Distributed Stochastic Optimization
AAAI 2020