communication overhead

GMFL: Efficient Global Masking for Federated LLM Fine-tuning ACL 2026 AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction EMNLP 2025 DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference ICCV 2025 EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models ICLR 2025 Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation AAAI 2025 Efficient Federated Incomplete Multi-View Clustering ICML 2025 FedCross: Intertemporal Federated Learning Under Evolutionary Games AAAI 2025 Federated In-Context Learning: Iterative Refinement for Improved Answer Quality ICML 2025 FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates ICML 2025 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models ICML 2025 Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning ICML 2025 LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models ICML 2025 Near Optimal Best Arm Identification for Clustered Bandits ICML 2025 One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory ICML 2025 SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models ICML 2025 Accelerating Neural Recommendation Training with Embedding Scheduling NSDI 2024 A Quadratic Synchronization Rule for Distributed Deep Learning ICLR 2024 Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits AAAI 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization ICML 2024 Federated Continual Learning via Prompt-based Dual Knowledge Transfer ICML 2024 JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024 Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024 Sketching for Distributed Deep Learning: A Sharper Analysis NeurIPS 2024