Parameter Efficiency Is Not Memory Efficiency: Rethinking Fine-Tuning for On-Device LLM Adaptation
Fuente:
arXiv
Saved in:
| Main Authors: | Tenison, Irene, Ahn, Stella, Kim, Miriam, Alshehri, Ebtisam, Kagal, Lalana |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Forget to Generalize: Iterative Adaptation for Generalization in Federated Learning
by: Alotaibi, Abdulrahman, et al.
Published: (2026)
by: Alotaibi, Abdulrahman, et al.
Published: (2026)
FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence
by: Tenison, Irene, et al.
Published: (2025)
by: Tenison, Irene, et al.
Published: (2025)
Learning Concept Bottleneck Models from Mechanistic Explanations
by: De Santis, Antonio, et al.
Published: (2026)
by: De Santis, Antonio, et al.
Published: (2026)
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Jung, Yeonjoon, et al.
Published: (2025)
by: Jung, Yeonjoon, et al.
Published: (2025)
Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
by: Ban, Hao, et al.
Published: (2025)
by: Ban, Hao, et al.
Published: (2025)
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
by: Taraghi, Mina, et al.
Published: (2025)
by: Taraghi, Mina, et al.
Published: (2025)
From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices
by: Slamanig, Georg, et al.
Published: (2025)
by: Slamanig, Georg, et al.
Published: (2025)
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
by: Du, Zhekai, et al.
Published: (2025)
by: Du, Zhekai, et al.
Published: (2025)
Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning
by: Fujisawa, Yoshihiko, et al.
Published: (2026)
by: Fujisawa, Yoshihiko, et al.
Published: (2026)
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
by: Liu, Jun, et al.
Published: (2025)
by: Liu, Jun, et al.
Published: (2025)
PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection
by: Hwang, Junseo, et al.
Published: (2025)
by: Hwang, Junseo, et al.
Published: (2025)
Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
by: Kim, Minseon, et al.
Published: (2025)
by: Kim, Minseon, et al.
Published: (2025)
Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models
by: Das, Soumi, et al.
Published: (2025)
by: Das, Soumi, et al.
Published: (2025)
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
by: Woo, Sunghyeon, et al.
Published: (2025)
by: Woo, Sunghyeon, et al.
Published: (2025)
Sensor Calibration Model Balancing Accuracy, Real-time, and Efficiency
by: Yun, Jinyong, et al.
Published: (2025)
by: Yun, Jinyong, et al.
Published: (2025)
Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026)
by: Park, Juneyoung
Published: (2026)
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
by: Nikdan, Mahdi, et al.
Published: (2024)
by: Nikdan, Mahdi, et al.
Published: (2024)
SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
by: Ma, Jian, et al.
Published: (2025)
by: Ma, Jian, et al.
Published: (2025)
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
by: Kim, Yeachan, et al.
Published: (2024)
by: Kim, Yeachan, et al.
Published: (2024)
Fine-Tuned In-Context Learners for Efficient Adaptation
by: Bornschein, Jorg, et al.
Published: (2025)
by: Bornschein, Jorg, et al.
Published: (2025)
RevFFN: Memory-Efficient Full-Parameter Fine-Tuning of Mixture-of-Experts LLMs with Reversible Blocks
by: Liu, Ningyuan, et al.
Published: (2025)
by: Liu, Ningyuan, et al.
Published: (2025)
Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach
by: Mao, Yuzhu, et al.
Published: (2024)
by: Mao, Yuzhu, et al.
Published: (2024)
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
by: Liu, Yilun, et al.
Published: (2025)
by: Liu, Yilun, et al.
Published: (2025)
ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
by: Yang, Yuchen, et al.
Published: (2024)
by: Yang, Yuchen, et al.
Published: (2024)
Parameter-Efficient Continual Fine-Tuning: A Survey
by: Coleman, Eric Nuertey, et al.
Published: (2025)
by: Coleman, Eric Nuertey, et al.
Published: (2025)
MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning
by: Lu, Yiyang, et al.
Published: (2026)
by: Lu, Yiyang, et al.
Published: (2026)
Alignment Dynamics in LLM Fine-Tuning
by: Huang, Yuhan, et al.
Published: (2026)
by: Huang, Yuhan, et al.
Published: (2026)
Study of Training Dynamics for Memory-Constrained Fine-Tuning
by: Quélennec, Aël, et al.
Published: (2025)
by: Quélennec, Aël, et al.
Published: (2025)
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
by: Ju, Yiming, et al.
Published: (2024)
by: Ju, Yiming, et al.
Published: (2024)
MoRe Fine-Tuning with 10x Fewer Parameters
by: Tan, Wenxuan, et al.
Published: (2024)
by: Tan, Wenxuan, et al.
Published: (2024)
Profiling LoRA/QLoRA Fine-Tuning Efficiency on Consumer GPUs: An RTX 4060 Case Study
by: Avinash, MSR
Published: (2025)
by: Avinash, MSR
Published: (2025)
QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attention
by: Oh, Sehyeon, et al.
Published: (2026)
by: Oh, Sehyeon, et al.
Published: (2026)
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
by: Liu, Zeyu, et al.
Published: (2024)
by: Liu, Zeyu, et al.
Published: (2024)
AgentFlux: Decoupled Fine-Tuning & Inference for On-Device Agentic Systems
by: Kadekodi, Rohan, et al.
Published: (2025)
by: Kadekodi, Rohan, et al.
Published: (2025)
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
by: Raje, Arian, et al.
Published: (2025)
by: Raje, Arian, et al.
Published: (2025)
CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning
by: Ge, Jingze, et al.
Published: (2026)
by: Ge, Jingze, et al.
Published: (2026)
GateRA: Token-Aware Modulation for Parameter-Efficient Fine-Tuning
by: Ou, Jie, et al.
Published: (2025)
by: Ou, Jie, et al.
Published: (2025)
PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
by: Liu, Yilun, et al.
Published: (2024)
by: Liu, Yilun, et al.
Published: (2024)
DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
by: Xu, Kaixuan, et al.
Published: (2025)
by: Xu, Kaixuan, et al.
Published: (2025)
Similar Items
-
Forget to Generalize: Iterative Adaptation for Generalization in Federated Learning
by: Alotaibi, Abdulrahman, et al.
Published: (2026) -
FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence
by: Tenison, Irene, et al.
Published: (2025) -
Learning Concept Bottleneck Models from Mechanistic Explanations
by: De Santis, Antonio, et al.
Published: (2026) -
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Jung, Yeonjoon, et al.
Published: (2025) -
Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
by: Ban, Hao, et al.
Published: (2025)