TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
Fuente:
arXiv
Saved in:
| Main Authors: | Kunwar, Pradip, Vu, Minh N., Gupta, Maanak, Abdelsalam, Mahmoud, Bhattarai, Manish |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
by: Kunwar, Pradip, et al.
Published: (2026)
by: Kunwar, Pradip, et al.
Published: (2026)
SoK: Leveraging Transformers for Malware Analysis
by: Kunwar, Pradip, et al.
Published: (2024)
by: Kunwar, Pradip, et al.
Published: (2024)
MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-Tuning
by: Manzoni, Andrea
Published: (2026)
by: Manzoni, Andrea
Published: (2026)
Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning
by: Li, Weihang, et al.
Published: (2026)
by: Li, Weihang, et al.
Published: (2026)
A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning
by: Xu, Junzhou, et al.
Published: (2025)
by: Xu, Junzhou, et al.
Published: (2025)
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)
by: Deng, Guanzhi, et al.
Published: (2026)
AT-MoE: Adaptive Task-planning Mixture of Experts via LoRA Approach
by: Li, Xurui, et al.
Published: (2024)
by: Li, Xurui, et al.
Published: (2024)
MLAE: Masked LoRA Experts for Visual Parameter-Efficient Fine-Tuning
by: Wang, Junjie, et al.
Published: (2024)
by: Wang, Junjie, et al.
Published: (2024)
Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
by: Li, Dengchun, et al.
Published: (2024)
by: Li, Dengchun, et al.
Published: (2024)
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing Mechanism
by: Li, Dengchun, et al.
Published: (2025)
by: Li, Dengchun, et al.
Published: (2025)
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
by: Chen, Guanduo, et al.
Published: (2025)
by: Chen, Guanduo, et al.
Published: (2025)
TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts
by: Jeon, Jeimin, et al.
Published: (2026)
by: Jeon, Jeimin, et al.
Published: (2026)
Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)
by: Zeng, Zhichen, et al.
Published: (2025)
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
by: Lee, Seungeon, et al.
Published: (2025)
by: Lee, Seungeon, et al.
Published: (2025)
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
by: Seregina, Irina, et al.
Published: (2025)
by: Seregina, Irina, et al.
Published: (2025)
NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
by: Wang, Shuaidi, et al.
Published: (2026)
by: Wang, Shuaidi, et al.
Published: (2026)
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
by: Zhu, Zhanda, et al.
Published: (2025)
by: Zhu, Zhanda, et al.
Published: (2025)
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
by: Tian, Chunlin, et al.
Published: (2024)
by: Tian, Chunlin, et al.
Published: (2024)
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
by: Che, Chang, et al.
Published: (2025)
by: Che, Chang, et al.
Published: (2025)
LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
by: Zhuang, Yuan, et al.
Published: (2025)
by: Zhuang, Yuan, et al.
Published: (2025)
KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)
by: Azimi, Rambod, et al.
Published: (2024)
Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
by: Wang, Lei, et al.
Published: (2025)
by: Wang, Lei, et al.
Published: (2025)
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning
by: Gou, Yunhao, et al.
Published: (2023)
by: Gou, Yunhao, et al.
Published: (2023)
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
by: Ge, Chendi, et al.
Published: (2025)
by: Ge, Chendi, et al.
Published: (2025)
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
by: Ding, Chuntao, et al.
Published: (2024)
by: Ding, Chuntao, et al.
Published: (2024)
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning
by: Yang, Shu, et al.
Published: (2024)
by: Yang, Shu, et al.
Published: (2024)
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
by: Bian, Jieming, et al.
Published: (2024)
by: Bian, Jieming, et al.
Published: (2024)
CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging
by: Cao, Jie, et al.
Published: (2026)
by: Cao, Jie, et al.
Published: (2026)
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs
by: Anjum, Afia, et al.
Published: (2024)
by: Anjum, Afia, et al.
Published: (2024)
GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors
by: Zhang, Hengyuan, et al.
Published: (2025)
by: Zhang, Hengyuan, et al.
Published: (2025)
LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs
by: Chen, Shaoxiang, et al.
Published: (2024)
by: Chen, Shaoxiang, et al.
Published: (2024)
Explainability Guided Adversarial Evasion Attacks on Malware Detectors
by: Aryal, Kshitiz, et al.
Published: (2024)
by: Aryal, Kshitiz, et al.
Published: (2024)
Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File
by: Aryal, Kshitiz, et al.
Published: (2024)
by: Aryal, Kshitiz, et al.
Published: (2024)
OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting during Parameter-Efficient Fine-Tuning
by: Xiong, Yifeng, et al.
Published: (2025)
by: Xiong, Yifeng, et al.
Published: (2025)
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models
by: Gupta, Divij, et al.
Published: (2024)
by: Gupta, Divij, et al.
Published: (2024)
LoRALib: A Standardized Benchmark for Evaluating LoRA-MoE Methods
by: Wang, Shaoheng, et al.
Published: (2025)
by: Wang, Shaoheng, et al.
Published: (2025)
LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
by: Huang, Yining, et al.
Published: (2025)
by: Huang, Yining, et al.
Published: (2025)
Echo-LoRA: Parameter-Efficient Fine-Tuning via Cross-Layer Representation Injection
by: Peng, Yihang, et al.
Published: (2026)
by: Peng, Yihang, et al.
Published: (2026)
Similar Items
-
Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
by: Kunwar, Pradip, et al.
Published: (2026) -
SoK: Leveraging Transformers for Malware Analysis
by: Kunwar, Pradip, et al.
Published: (2024) -
MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-Tuning
by: Manzoni, Andrea
Published: (2026) -
Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning
by: Li, Weihang, et al.
Published: (2026) -
A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning
by: Xu, Junzhou, et al.
Published: (2025)