Distributed Optimization

Beyond Euclidean Gossip: KL-Barycentric Consensus on Heterogeneous and Imbalanced Images CVPR 2026 Communication-efficient Distributed Statistical Inference for Massive Data with Heterogeneous Auxiliary Information JMLR 2026 Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning UAI 2026 Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex Optimization JMLR 2026 DCatalyst: A Unified Accelerated Framework for Decentralized Optimization JMLR 2026 FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning CVPR 2026 Markovian Compression: Looking to the Past Helps Accelerate the Future UAI 2026 Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach COLT 2026 An Asynchronous Bundle Method for Distributed Learning Problems ICLR 2025 Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs AISTATS 2025 Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization AISTATS 2025 Convergence of Distributed Adaptive Optimization with Local Updates ICLR 2025 Correlated Quantization for Faster Nonconvex Distributed Optimization UAI 2025 Decentralized Optimization with Coupled Constraints ICLR 2025 Federated Communication-Efficient Multi-Objective Optimization AISTATS 2025 MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times UAI 2025 PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis AISTATS 2025 Towards Faster Decentralized Stochastic Optimization with Communication Compression ICLR 2025 Unbiased Quantization of the L_1 Ball for Communication-Efficient Distributed Mean Estimation AISTATS 2025 Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization ICLR 2024 EControl: Fast Distributed Optimization with Compression and Error Control ICLR 2024 Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants ICLR 2024 FedAST: Federated Asynchronous Simultaneous Training UAI 2024 Hierarchical Global Asynchronous Federated Learning Across Multi-Center ACML 2024