FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Yan, Guochen, Xie, Luyuan, Shen, Qingni, Fang, Yuejian, Wu, Zhonghai |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
par: Yan, Guochen, et autres
Publié: (2024)
par: Yan, Guochen, et autres
Publié: (2024)
Personalized One-shot Federated Graph Learning for Heterogeneous Clients
par: Yan, Guochen, et autres
Publié: (2024)
par: Yan, Guochen, et autres
Publié: (2024)
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
par: Xie, Luyuan, et autres
Publié: (2024)
par: Xie, Luyuan, et autres
Publié: (2024)
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
par: Xie, Luyuan, et autres
Publié: (2025)
par: Xie, Luyuan, et autres
Publié: (2025)
TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
par: Xie, Luyuan, et autres
Publié: (2024)
par: Xie, Luyuan, et autres
Publié: (2024)
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
par: Xie, Luyuan, et autres
Publié: (2024)
par: Xie, Luyuan, et autres
Publié: (2024)
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis
par: Xie, Luyuan, et autres
Publié: (2024)
par: Xie, Luyuan, et autres
Publié: (2024)
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
par: Ghiasvand, Sajjad, et autres
Publié: (2024)
par: Ghiasvand, Sajjad, et autres
Publié: (2024)
Exploring Information Seeking Agent Consolidation
par: Yan, Guochen, et autres
Publié: (2026)
par: Yan, Guochen, et autres
Publié: (2026)
FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models
par: Li, Chuan, et autres
Publié: (2025)
par: Li, Chuan, et autres
Publié: (2025)
FedKRSO: Communication and Memory Efficient Federated Fine-Tuning of Large Language Models
par: Yang, Guohao, et autres
Publié: (2026)
par: Yang, Guohao, et autres
Publié: (2026)
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
par: Gao, Yan, et autres
Publié: (2025)
par: Gao, Yan, et autres
Publié: (2025)
FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models
par: Wu, Jiaqi, et autres
Publié: (2024)
par: Wu, Jiaqi, et autres
Publié: (2024)
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models
par: Singhal, Raghav, et autres
Publié: (2024)
par: Singhal, Raghav, et autres
Publié: (2024)
ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
par: Tang, Pengwei, et autres
Publié: (2025)
par: Tang, Pengwei, et autres
Publié: (2025)
Federated Data-Efficient Instruction Tuning for Large Language Models
par: Qin, Zhen, et autres
Publié: (2024)
par: Qin, Zhen, et autres
Publié: (2024)
Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models
par: Zhang, Che, et autres
Publié: (2024)
par: Zhang, Che, et autres
Publié: (2024)
FedJudge: Federated Legal Large Language Model
par: Yue, Linan, et autres
Publié: (2023)
par: Yue, Linan, et autres
Publié: (2023)
FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices
par: Gao, Zhidong, et autres
Publié: (2024)
par: Gao, Zhidong, et autres
Publié: (2024)
Enhancing Large Language Model with Decomposed Reasoning for Emotion Cause Pair Extraction
par: Wu, Jialiang, et autres
Publié: (2024)
par: Wu, Jialiang, et autres
Publié: (2024)
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
par: Prottasha, Nusrat Jahan, et autres
Publié: (2024)
par: Prottasha, Nusrat Jahan, et autres
Publié: (2024)
Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection
par: Shen, Lingzhi, et autres
Publié: (2025)
par: Shen, Lingzhi, et autres
Publié: (2025)
Reversing Large Language Models for Efficient Training and Fine-Tuning
par: Gal, Eshed, et autres
Publié: (2025)
par: Gal, Eshed, et autres
Publié: (2025)
HFT: Half Fine-Tuning for Large Language Models
par: Hui, Tingfeng, et autres
Publié: (2024)
par: Hui, Tingfeng, et autres
Publié: (2024)
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
par: Fan, Tao, et autres
Publié: (2024)
par: Fan, Tao, et autres
Publié: (2024)
Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models
par: Ormerod, Christopher
Publié: (2026)
par: Ormerod, Christopher
Publié: (2026)
Dynamics of Instruction Fine-Tuning for Chinese Large Language Models
par: Song, Chiyu, et autres
Publié: (2023)
par: Song, Chiyu, et autres
Publié: (2023)
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
par: Wang, Fei, et autres
Publié: (2024)
par: Wang, Fei, et autres
Publié: (2024)
Crafting Efficient Fine-Tuning Strategies for Large Language Models
par: Oliver, Michael, et autres
Publié: (2024)
par: Oliver, Michael, et autres
Publié: (2024)
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation
par: Azizi, Seyedarmin, et autres
Publié: (2024)
par: Azizi, Seyedarmin, et autres
Publié: (2024)
Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models
par: Gong, Ming, et autres
Publié: (2025)
par: Gong, Ming, et autres
Publié: (2025)
Efficient Fine-Tuning of Large Language Models for Automated Medical Documentation
par: Leong, Hui Yi, et autres
Publié: (2024)
par: Leong, Hui Yi, et autres
Publié: (2024)
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
par: Fan, Tao, et autres
Publié: (2024)
par: Fan, Tao, et autres
Publié: (2024)
Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translation
par: Jiang, Shuting, et autres
Publié: (2026)
par: Jiang, Shuting, et autres
Publié: (2026)
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
par: Shi, Zhengxiang, et autres
Publié: (2023)
par: Shi, Zhengxiang, et autres
Publié: (2023)
MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
par: Cheng, Bo, et autres
Publié: (2025)
par: Cheng, Bo, et autres
Publié: (2025)
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models
par: Ling, Zhenqing, et autres
Publié: (2024)
par: Ling, Zhenqing, et autres
Publié: (2024)
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
par: Wang, Weixuan, et autres
Publié: (2025)
par: Wang, Weixuan, et autres
Publié: (2025)
Impact of Fine-Tuning Methods on Memorization in Large Language Models
par: Hou, Jie, et autres
Publié: (2025)
par: Hou, Jie, et autres
Publié: (2025)
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
par: Cao, Jie, et autres
Publié: (2025)
par: Cao, Jie, et autres
Publié: (2025)
Documents similaires
-
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
par: Yan, Guochen, et autres
Publié: (2024) -
Personalized One-shot Federated Graph Learning for Heterogeneous Clients
par: Yan, Guochen, et autres
Publié: (2024) -
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
par: Xie, Luyuan, et autres
Publié: (2024) -
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
par: Xie, Luyuan, et autres
Publié: (2025) -
TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
par: Xie, Luyuan, et autres
Publié: (2024)