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Distributed Learning

1100 directly classified papers

Papers per year

Papers

DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021
Stochastic Sign Descent Methods: New Algorithms and Better Theory ICML 2021
Distributed Nyström Kernel Learning with Communications ICML 2021
Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets IJCAI 2021
Asynchronous Active Learning with Distributed Label Querying IJCAI 2021
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! AISTATS 2021
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NIPS 2021
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems AAAI 2021
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks UAI 2021
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees AAAI 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021
Constrained Robust Submodular Partitioning NIPS 2021
Communication efficient parallel reinforcement learning UAI 2021
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021
Distributed Zero-Order Optimization under Adversarial Noise NIPS 2021
Distributed Saddle-Point Problems Under Data Similarity NIPS 2021
Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021
Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates AISTATS 2021
Local SGD: Unified Theory and New Efficient Methods AISTATS 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating AAAI 2021
Toward Understanding the Influence of Individual Clients in Federated Learning AAAI 2021
Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning AAAI 2021
P3: Distributed Deep Graph Learning at Scale OSDI 2021