Summary of Sa-fedlora: Adaptive Parameter Allocation For Efficient Federated Learning with Lora Tuning, by Yuning Yang et al.
SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuningby Yuning Yang, Xiaohong Liu,…
SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuningby Yuning Yang, Xiaohong Liu,…
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptationby Jie…
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learningby Duy Phuong Nguyen, J. Pablo Munoz, Ali…
Personalized Collaborative Fine-Tuning for On-Device Large Language Modelsby Nicolas Wagner, Dongyang Fan, Martin JaggiFirst submitted…
Rethinking Low-Rank Adaptation in Vision: Exploring Head-Level Responsiveness across Diverse Tasksby Yibo Zhong, Yao ZhouFirst…
Low-rank Adaptation for Spatio-Temporal Forecastingby Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li,…
A Note on LoRAby Vlad Fomenko, Han Yu, Jongho Lee, Stanley Hsieh, Weizhu ChenFirst submitted…
Bi-LORA: A Vision-Language Approach for Synthetic Image Detectionby Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene,…
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learningby Yan-Shuo Liang, Wu-Jun LiFirst submitted to arxiv on:…
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learningby Ahmed Agiza, Marina Neseem, Sherief RedaFirst…