communication efficiency

EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025 Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation AAAI 2025 Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025 Federated Communication-Efficient Multi-Objective Optimization AISTATS 2025 Federated Representation Angle Learning ICCV 2025 FedSpaLLM: Federated Pruning of Large Language Models NAACL 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025 FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization ICCV 2025 Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025 mmCooper: A Multi-agent Multi-stage Communication-efficient and Collaboration-robust Cooperative Perception Framework ICCV 2025 One-shot Federated Learning Methods: A Practical Guide IJCAI 2025 Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System ACL 2025 pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning AAAI 2025 Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception ICLR 2025 Problem-Parameter-Free Federated Learning ICLR 2025 Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025 SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process ICLR 2025 SparsyFed: Sparse Adaptive Federated Learning ICLR 2025 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025 Adaptive Compression in Federated Learning via Side Information AISTATS 2024 A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024 A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024 B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data NeurIPS 2024 Communication-Efficient Collaborative Perception via Information Filling with Codebook CVPR 2024 Communication Efficient Distributed Newton Method over Unreliable Networks AAAI 2024