:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fang, Zihan, Lin, Zheng, Chen, Zhe, Chen, Xianhao, Gao, Yue, Fang, Yuguang
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2404.06448
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
par: Lin, Zheng, et autres
Publié: (2025)

Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
par: Hu, Senkang, et autres
Publié: (2025)

Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
par: Fang, Zihan, et autres
Publié: (2026)

FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks
par: Lin, Zheng, et autres
Publié: (2023)

SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
par: Zhang, Yuxin, et autres
Publié: (2024)

HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts
par: Fang, Zihan, et autres
Publié: (2026)

SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
par: Lin, Zheng, et autres
Publié: (2024)

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring
par: Fang, Zihan, et autres
Publié: (2025)

HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems
par: Lin, Zheng, et autres
Publié: (2025)

IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers
par: Fang, Zihan, et autres
Publié: (2024)

ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
par: Zhu, Guangyu, et autres
Publié: (2024)

Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
par: Lin, Zheng, et autres
Publié: (2023)

LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks
par: Lin, Zheng, et autres
Publié: (2025)

AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning
par: Hu, Senkang, et autres
Publié: (2024)

Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout
par: Wang, Shilong, et autres
Publié: (2025)

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
par: Gao, Ziqi, et autres
Publié: (2024)

Hierarchical Split Federated Learning: Convergence Analysis and System Optimization
par: Lin, Zheng, et autres
Publié: (2024)

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
par: Bian, Jieming, et autres
Publié: (2025)

A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
par: Chai, Yidong, et autres
Publié: (2025)

Understanding and Guiding Layer Placement in Parameter-Efficient Fine-Tuning of Large Language Models
par: Xu, Yichen, et autres
Publié: (2026)

Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
par: Wang, Luping, et autres
Publié: (2024)

FedKRSO: Communication and Memory Efficient Federated Fine-Tuning of Large Language Models
par: Yang, Guohao, et autres
Publié: (2026)

Artificial Entanglement in the Fine-Tuning of Large Language Models
par: Chen, Min, et autres
Publié: (2026)

Enabling Near-realtime Remote Sensing via Satellite-Ground Collaboration of Large Vision-Language Models
par: Li, Zihan, et autres
Publié: (2025)

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
par: Qu, Guanqiao, et autres
Publié: (2024)

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
par: Liu, Yilun, et autres
Publié: (2024)

DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
par: Gao, Chao, et autres
Publié: (2024)

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
par: Zhang, Longteng, et autres
Publié: (2026)

Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
par: Shu, Yao, et autres
Publié: (2024)

FedPFT: Federated Proxy Fine-Tuning of Foundation Models
par: Peng, Zhaopeng, et autres
Publié: (2024)

Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study
par: Storhaug, André, et autres
Publié: (2024)

Parameter-Efficient Fine-Tuning for Foundation Models
par: Zhang, Dan, et autres
Publié: (2025)

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline
par: Fang, Zhiyuan, et autres
Publié: (2025)

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
par: Ma, Xinyu, et autres
Publié: (2024)

Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models
par: Wu, Fei, et autres
Publié: (2025)

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
par: Peng, Zhiyuan, et autres
Publié: (2024)

Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
par: Wang, Zihan, et autres
Publié: (2024)

On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
par: Wang, Shumin, et autres
Publié: (2026)

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
par: Chang, Aofei, et autres
Publié: (2024)

Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs
par: Zhang, Zheng, et autres
Publié: (2024)