Distributed Learning

Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations OSDI 2026 On the Relevance of Byzantine Robust Optimization Against Data Poisoning JMLR 2026 Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity AAAI 2025 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025 Decentralized Diffusion Models CVPR 2025 EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback JMLR 2025 MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times UAI 2025 Optimal and Efficient Algorithms for Decentralized Online Convex Optimization JMLR 2025 Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025 Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025 Scaling Probabilistic Circuits via Data Partitioning UAI 2025 ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025 Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024 Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NeurIPS 2024 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 A Survey on Multi-player Bandits JMLR 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Communication Efficient Distributed Newton Method over Unreliable Networks AAAI 2024 Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024 Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024 Decentralized Sum-of-Nonconvex Optimization AAAI 2024 Distributed Kernel-Driven Data Clustering JMLR 2024