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asynchronous optimization

38 papers

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Co-occurring keywords

stochastic gradient descent (1091) stochastic optimization (1060) distributed learning (563) distributed optimization (275) convergence analysis (395) parallel optimization (33) asynchronous algorithm (20) variance reduction (523) gradient descent (1144) stochastic gradient (296)

Papers

Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization NIPS 2024
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NIPS 2024
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity NIPS 2024
Provably Convergent Federated Trilevel Learning AAAI 2024
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization ICML 2023
Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model NIPS 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023
Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent ICML 2022
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism JMLR 2022
SnAKe: Bayesian Optimization with Pathwise Exploration NIPS 2022
Asynchronous Distributed Optimization with Stochastic Delays AISTATS 2022
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees AAAI 2021
Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021
Federated Learning under Arbitrary Communication Patterns ICML 2021
Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates AISTATS 2021
Asynchronous Decentralized Online Learning NIPS 2021
Asynchronous Stochastic Optimization Robust to Arbitrary Delays NIPS 2021
The Error-Feedback framework: SGD with Delayed Gradients JMLR 2020
Delay-Adaptive Distributed Stochastic Optimization AAAI 2020
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging NIPS 2019