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

BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training AAAI 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
InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck AAAI 2026
FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 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
BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning AAAI 2026
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026
EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion AAAI 2026
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning AAAI 2025
Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning CVPR 2025
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025
One-shot Federated Learning Methods: A Practical Guide IJCAI 2025
A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract) AAAI 2025
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation AAAI 2025
Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025
Communication-Efficient Multi-Vehicle Collaborative Semantic Segmentation via Sparse 3D Gaussian Sharing ICCV 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025
Federated Representation Angle Learning ICCV 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System ACL 2025