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Distributed Optimization

99 directly classified papers

Papers per year

Papers

Beyond spectral gap: the role of the topology in decentralized learning NIPS 2022
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NIPS 2022
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NIPS 2022
Distributed Online Convex Optimization with Compressed Communication NIPS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities NIPS 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NIPS 2022
Fast Algorithms for Packing Proportional Fairness and its Dual NIPS 2022
Decentralized Training of Foundation Models in Heterogeneous Environments NIPS 2022
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox NIPS 2022
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression NIPS 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NIPS 2022
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization NIPS 2022
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning NIPS 2022
Communication-Aware Collaborative Learning AAAI 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices NIPS 2021
A Stochastic Newton Algorithm for Distributed Convex Optimization NIPS 2021
A Faster Decentralized Algorithm for Nonconvex Minimax Problems NIPS 2021
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks NIPS 2021
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NIPS 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NIPS 2021
ErrorCompensatedX: error compensation for variance reduced algorithms NIPS 2021
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NIPS 2021
FedSplit: an algorithmic framework for fast federated optimization NIPS 2020
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization NIPS 2020
Decentralized Accelerated Proximal Gradient Descent NIPS 2020