communication efficiency

BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning AAAI 2026 BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training AAAI 2026 CoLC: Communication-Efficient Collaborative Perception with LiDAR Completion 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 Communication-Efficient Heterogeneous Federated Learning with Sparse Prototypes in Resource-Constrained Environments AAAI 2026 Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub AAAI 2026 EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion AAAI 2026 FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026 FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026 InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck AAAI 2026 One-Shot Federated Learning based on Random Feature Extractor UAI 2026 Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2026 Re-architecting Personalized Federated Learning for Demanding Edge Environments AAAI 2026 TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training AAAI 2026 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 A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract) AAAI 2025 An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025 AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training NSDI 2025 Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning CVPR 2025 BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025 Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models ACL 2025 Communication-Efficient Multi-Vehicle Collaborative Semantic Segmentation via Sparse 3D Gaussian Sharing ICCV 2025 Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025