Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Ren, Jiaxiang"'
Autor:
Liu, Ji, Ren, Jiaxiang, Jin, Ruoming, Zhang, Zijie, Zhou, Yang, Valduriez, Patrick, Dou, Dejing
As a promising paradigm to collaboratively train models with decentralized data, Federated Learning (FL) can be exploited to fine-tune Large Language Models (LLMs). While LLMs correspond to huge size, the scale of the training data significantly incr
Externí odkaz:
http://arxiv.org/abs/2410.00131
Optical Doppler Tomography (ODT) is a blood flow imaging technique popularly used in bioengineering applications. The fundamental unit of ODT is the 1D frequency response along the A-line (depth), named raw A-scan. A 2D ODT image (B-scan) is obtained
Externí odkaz:
http://arxiv.org/abs/2404.17484
Autor:
Liu, Ji, Jia, Juncheng, Che, Tianshi, Huo, Chao, Ren, Jiaxiang, Zhou, Yang, Dai, Huaiyu, Dou, Dejing
As a promising approach to deal with distributed data, Federated Learning (FL) achieves major advancements in recent years. FL enables collaborative model training by exploiting the raw data dispersed in multiple edge devices. However, the data is ge
Externí odkaz:
http://arxiv.org/abs/2312.05770
Autor:
Che, Tianshi, Liu, Ji, Zhou, Yang, Ren, Jiaxiang, Zhou, Jiwen, Sheng, Victor S., Dai, Huaiyu, Dou, Dejing
Federated learning (FL) is a promising paradigm to enable collaborative model training with decentralized data. However, the training process of Large Language Models (LLMs) generally incurs the update of significant parameters, which limits the appl
Externí odkaz:
http://arxiv.org/abs/2310.15080
Publikováno v:
ICML 2022
The federated learning (FL) framework enables edge clients to collaboratively learn a shared inference model while keeping privacy of training data on clients. Recently, many heuristics efforts have been made to generalize centralized adaptive optimi
Externí odkaz:
http://arxiv.org/abs/2207.07223
Publikováno v:
In Computers & Industrial Engineering October 2024 196
Optical coherence tomography angiography (OCTA) is an important imaging modality in many bioengineering tasks. The image quality of OCTA, however, is often degraded by Bulk Motion Artifacts (BMA), which are due to micromotion of subjects and typicall
Externí odkaz:
http://arxiv.org/abs/2202.10360
Objectives. The aim of this study was to investigate whether a deep convolutional neural network (CNN) with an attention module can detect osteoporosis on panoramic radiographs. Study Design. A dataset of 70 panoramic radiographs (PRs) from 70 differ
Externí odkaz:
http://arxiv.org/abs/2110.09662
Autor:
Tsai, Pao-Feng, Wang, Chih-Hsuan, Zhou, Yang, Ren, Jiaxiang, Jones, Alisha, Watts, Sarah O., Chou, Chiahung, Ku, Wei-Shinn
Publikováno v:
In Applied Nursing Research December 2021 62
Autor:
Gimi, Barjor S., Krol, Andrzej, Zou, Zhilin, Park, Kicheon, Ren, Jiaxiang, Cheng, Wensheng, Liu, Sophia, Pan, Yingtian, Du, Congwu, Ling, Haibin
Publikováno v:
Proceedings of SPIE; April 2024, Vol. 12930 Issue: 1 p129301J-129301J-8, 1163718p