Co-occurring keywords · papers mentioning both
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