conftrace_

decentralized optimization

113 papers

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Co-occurring keywords

distributed learning (563) stochastic optimization (1060) stochastic gradient descent (1091) gradient tracking (25) variance reduction (523) communication complexity (99) nonconvex optimization (316) distributed optimization (275) stochastic gradient (296) communication efficiency (297)

Papers

Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate NIPS 2022
Decentralized Online Convex Optimization in Networked Systems ICML 2022
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression NIPS 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NIPS 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022
Adaptive Random Walk Gradient Descent for Decentralized Optimization ICML 2022
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations NIPS 2022
Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging NIPS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities NIPS 2022
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NIPS 2022
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NIPS 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022
Decentralized Multi-Agent Linear Bandits with Safety Constraints AAAI 2021
Ship Compute or Ship Data? Why Not Both? NSDI 2021
Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization IJCAI 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021
Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021
Asynchronous Decentralized SGD with Quantized and Local Updates NIPS 2021
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks NIPS 2021
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization AISTATS 2021
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! AISTATS 2021
Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks JMLR 2021