Distributed Learning

RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training AAAI 2026 Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage AAAI 2026 S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems AAAI 2026 SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning AAAI 2026 SkyMoE: A Vision-Language Foundation Model for Enhancing Geospatial Interpretation with Mixture of Experts AAAI 2026 SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing AAAI 2026 TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training AAAI 2026 Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework AAAI 2026 Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity AAAI 2025 Accelerating Design Space Exploration for LLM Training Systems with Multi-experiment Parallel Simulation NSDI 2025 Accelerating neural network training: An analysis of the AlgoPerf competition ICLR 2025 Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation WACV 2025 Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization ICLR 2025 AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025 APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs ACL 2025 A Primal-dual Perspective for Distributed TD-learning IJCAI 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 Beyond A Single AI Cluster: A Survey of Decentralized LLM Training EMNLP 2025 Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025 Class-Wise Federated Averaging for Efficient Personalization ICCV 2025 Covariance Selection over Networks AISTATS 2025 Creating Coherence in Federated Non-Negative Matrix Factorization AAAI 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025 Debiasing Federated Learning with Correlated Client Participation ICLR 2025