Distributed Learning
1,202 papers
Papers per year
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27
24
46
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72
99
115
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115
33
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Papers
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
NeurIPS 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC
JMLR 2023
Unlocking the Heterogeneous Landscape of Big Data NLP with DUUI
EMNLP 2023
zPROBE: Zero Peek Robustness Checks for Federated Learning
ICCV 2023
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
ICML 2022
Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks
NSDI 2022
Acceleration in Distributed Optimization under Similarity
AISTATS 2022
Acceleration in Distributed Sparse Regression
NeurIPS 2022
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
NeurIPS 2022
A Deep Learning Dataloader with Shared Data Preparation
NeurIPS 2022
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
OSDI 2022
Anarchic Federated Learning
ICML 2022
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
ICML 2022
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
AAAI 2022
A Resilient Distributed Boosting Algorithm
ICML 2022
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
ICML 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
NeurIPS 2022
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective
NeurIPS 2022
AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract)
AAAI 2022
Asynchronous Personalized Federated Learning with
Irregular Clients
ACML 2022
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
NeurIPS 2022
A Unified Analysis of Federated Learning with Arbitrary Client Participation
NeurIPS 2022
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression
NeurIPS 2022
Beyond spectral gap: the role of the topology in decentralized learning
NeurIPS 2022
BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster
CVPR 2022