Skip to content
conftrace_

asynchronous optimization

41 papers

Papers

An Asynchronous Bundle Method for Distributed Learning Problems ICLR 2025 Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025 Nesterov Method for Asynchronous Pipeline Parallel Optimization ICML 2025 Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024 Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NeurIPS 2024 On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization NeurIPS 2024 Provably Convergent Federated Trilevel Learning AAAI 2024 Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity NeurIPS 2024 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023 Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023 DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization ICML 2023 Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023 Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model NeurIPS 2023 Asynchronous Distributed Optimization with Stochastic Delays AISTATS 2022 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 NeurIPS 2022 Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021 Asynchronous Decentralized Online Learning NeurIPS 2021 Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees AAAI 2021 Asynchronous Stochastic Optimization Robust to Arbitrary Delays NeurIPS 2021 Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates AISTATS 2021 Federated Learning under Arbitrary Communication Patterns ICML 2021 Delay-Adaptive Distributed Stochastic Optimization AAAI 2020 The Error-Feedback framework: SGD with Delayed Gradients JMLR 2020