← Optimization & Theory
Machine Learning › Optimization & Theory ›

Distributed Learning

1100 directly classified papers

Papers per year

Papers

Skybridge: Bounded Staleness for Distributed Caches OSDI 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback JMLR 2025
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation IJCAI 2025
Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025
Beyond A Single AI Cluster: A Survey of Decentralized LLM Training EMNLP 2025
Scalable and Trustworthy Learning in Heterogeneous Networks AAAI 2025
Asynchronous Distributed Gaussian Process Regression AAAI 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies AAAI 2025
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization JMLR 2025
Enabling Efficient GPU Communication over Multiple NICs with FuseLink OSDI 2025
ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025
Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data JMLR 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025
Class-Wise Federated Averaging for Efficient Personalization ICCV 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs EMNLP 2025
Hypernetwork Aggregation for Decentralized Personalized Federated Learning IJCAI 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity JMLR 2025
Federated Voxel Scene Graph for Intracranial Hemorrhage WACV 2025