Cover Image

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Shiyi, Yu, Xiaoxue, Li, Rongpeng, Zhu, Jianhang, Zhao, Zhifeng, Zhang, Honggang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
by: Huang, Yining, et al.
Published: (2025)

LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples
by: Liu, Yezi, et al.
Published: (2025)

LoRA-Drop: Temporal LoRA Decoding for Efficient LLM Inference
by: Rajabzadeh, Hossein, et al.
Published: (2026)

Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
by: Chen, Yuxuan, et al.
Published: (2024)

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation
by: Tang, Haozhan, et al.
Published: (2026)

Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA
by: Wang, Fei, et al.
Published: (2025)

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
by: Tian, Chunlin, et al.
Published: (2024)

LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
by: Zhou, Hongyun, et al.
Published: (2024)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)

MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
by: Li, Dengchun, et al.
Published: (2024)

L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning
by: Singh, Raul, et al.
Published: (2025)

LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
by: Vulić, Ivan, et al.
Published: (2026)

Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
by: Lee, Yu-Ang, et al.
Published: (2026)

VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
by: Li, Yang, et al.
Published: (2024)

LoRA$^2$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models
by: Zhang, Jia-Chen, et al.
Published: (2024)

HypeLoRA: Hyper-Network-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
by: Trojan, Bartosz, et al.
Published: (2026)

Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
by: Ban, Hao, et al.
Published: (2025)

Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
by: Fan, Chenghao, et al.
Published: (2025)

Communications-Incentivized Collaborative Reasoning in NetGPT through Agentic Reinforcement Learning
by: Yu, Xiaoxue, et al.
Published: (2026)

FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA
by: Bian, Jieming, et al.
Published: (2025)

Dual LoRA: Enhancing LoRA with Magnitude and Direction Updates
by: Xu, Yixing, et al.
Published: (2025)

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
by: Ran, Delong, et al.
Published: (2025)

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
by: Zhou, Zikai, et al.
Published: (2025)

OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting during Parameter-Efficient Fine-Tuning
by: Xiong, Yifeng, et al.
Published: (2025)

On the Role of Encoder Depth: Pruning Whisper and LoRA Fine-Tuning in SLAM-ASR
by: Kolluri, Ganesh Pavan Kartikeya Bharadwaj, et al.
Published: (2026)

Recover-to-Forget: Gradient Reconstruction from LoRA for Efficient LLM Unlearning
by: Liu, Yezi, et al.
Published: (2025)

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
by: Yen, Jui-Nan, et al.
Published: (2024)

Saudi-Dialect-ALLaM: LoRA Fine-Tuning for Dialectal Arabic Generation
by: Barmandah, Hassan
Published: (2025)

MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification
by: Chen, Yuxuan, et al.
Published: (2024)

English Pronunciation Evaluation without Complex Joint Training: LoRA Fine-tuned Speech Multimodal LLM
by: Ahn, Taekyung, et al.
Published: (2025)

Topology-Assisted Spatio-Temporal Pattern Disentangling for Scalable MARL in Large-scale Autonomous Traffic Control
by: Li, Rongpeng, et al.
Published: (2025)

Select2Drive: Pragmatic Communications for Real-Time Collaborative Autonomous Driving
by: Huang, Jiahao, et al.
Published: (2025)

Enhancing Aviation Communication Transcription: Fine-Tuning Distil-Whisper with LoRA
by: Mirzaei, Shokoufeh, et al.
Published: (2025)

Interplay of Semantic Communication and Knowledge Learning
by: Ni, Fei, et al.
Published: (2024)

Zipper-LoRA: Dynamic Parameter Decoupling for Speech-LLM based Multilingual Speech Recognition
by: Mei, Yuxiang, et al.
Published: (2026)

Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
by: Barazandeh, Babak, et al.
Published: (2025)

MiCA Learns More Knowledge Than LoRA and Full Fine-Tuning
by: Rüdiger, Sten, et al.
Published: (2026)

CA-LoRA: Adapting Existing LoRA for Compressed LLMs to Enable Efficient Multi-Tasking on Personal Devices
by: Zhao, Weilin, et al.
Published: (2023)

Aletheia: Gradient-Guided Layer Selection for Efficient LoRA Fine-Tuning Across Architectures
by: Saket, Abdulmalek
Published: (2026)