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Distributed Learning

157 directly classified papers

Papers per year

Papers

Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity AAAI 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
Asynchronous Distributed Gaussian Process Regression AAAI 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback JMLR 2025
Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025
Decentralized Diffusion Models CVPR 2025
ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization JMLR 2025
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024
On the Role of Server Momentum in Federated Learning AAAI 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NIPS 2024
A Survey on Multi-player Bandits JMLR 2024
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024
Provably Convergent Federated Trilevel Learning AAAI 2024
Distributed Kernel-Driven Data Clustering JMLR 2024
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NIPS 2024
Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024
Decentralized Sum-of-Nonconvex Optimization AAAI 2024
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NIPS 2024
Communication Efficient Distributed Newton Method over Unreliable Networks AAAI 2024
ParaILP: A Parallel Local Search Framework for Integer Linear Programming with Cooperative Evolution Mechanism IJCAI 2024