Co-occurring keywords · papers mentioning both
Papers
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization
JMLR 2025
Revisiting Differentially Private Algorithms for Decentralized Online Learning
ICML 2025
Nearly Optimal Regret for Decentralized Online Convex Optimization
COLT 2024
A^2CiD^2: Accelerating Asynchronous Communication in Decentralized Deep Learning
NeurIPS 2023
A principled framework for the design and analysis of token algorithms
AISTATS 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements
JMLR 2023
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
ICML 2023
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
NeurIPS 2022
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
NeurIPS 2021
Optimal Complexity in Decentralized Training
ICML 2021
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
ICML 2020
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
ICLR 2020
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
AISTATS 2019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
ICML 2019
Stochastic Gradient Push for Distributed Deep Learning
ICML 2019
Decentralized Collaborative Learning of Personalized Models over Networks
AISTATS 2017
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks
ICML 2017
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
ICML 2016
Extending Gossip Algorithms to Distributed Estimation of U-statistics
NeurIPS 2015