Distributed Optimization

First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints UAI 2026 Learning to accelerate distributed ADMM using graph neural networks L4DC 2026 Markovian Compression: Looking to the Past Helps Accelerate the Future UAI 2026 Quantized Stochastic Primal–Dual Methods for Distributed Optimization under Relaxed Global Geometry UAI 2026 Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity AAAI 2025 Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs AISTATS 2025 Correlated Quantization for Faster Nonconvex Distributed Optimization UAI 2025 Covariance Selection over Networks AISTATS 2025 Decentralized Optimization with Coupled Constraints ICLR 2025 DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity ICLR 2025 Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing ICLR 2025 PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025 Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs AISTATS 2025 Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory ACML 2024 Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ICLR 2024 Distributed Least Squares in Small Space via Sketching and Bias Reduction NeurIPS 2024 DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus NeurIPS 2024 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NeurIPS 2024 Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NeurIPS 2024 iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping RSS 2024 Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NeurIPS 2024 Leveraging partial stragglers within gradient coding NeurIPS 2024 Nearly Optimal Regret for Decentralized Online Convex Optimization COLT 2024 Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NeurIPS 2024