conftrace_

communication efficiency

297 papers

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Co-occurring keywords

federated learning (1333) distributed learning (563) distributed optimization (275) stochastic gradient descent (1091) model compression (3302) gradient compression (78) distributed training (188) stochastic optimization (1060) differential privacy (1016) decentralized learning (103)

Papers

mmCooper: A Multi-agent Multi-stage Communication-efficient and Collaboration-robust Cooperative Perception Framework ICCV 2025
Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025
A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract) AAAI 2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation AAAI 2025
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration AAAI 2024
Communication Efficient Distributed Newton Method over Unreliable Networks AAAI 2024
Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024
A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NIPS 2024
Communication Efficient Distributed Training with Distributed Lion NIPS 2024
Distributed Least Squares in Small Space via Sketching and Bias Reduction NIPS 2024
Low Precision Local Training is Enough for Federated Learning NIPS 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning NIPS 2024
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NIPS 2024
A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NIPS 2024
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering NAACL 2024
Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024
Revisiting Ensembling in One-Shot Federated Learning NIPS 2024
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning NAACL 2024