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Publication search results
found 584 matches
- 2024
- Mohamed Amine Ferrag
, Mthandazo Ndhlovu
, Norbert Tihanyi
, Lucas C. Cordeiro
, Mérouane Debbah, Thierry Lestable, Narinderjit Singh Thandi:
Revolutionizing Cyber Threat Detection With Large Language Models: A Privacy-Preserving BERT-Based Lightweight Model for IoT/IIoT Devices. IEEE Access 12: 23733-23750 (2024) - DilipKumar Jang Bahadur Saini, Siddhartha Choubey, Abha Choubey, Mariyam Kidwai, Monica Mehrotra, Sagar Kolekar, Yudhishthir Raut:
Early detection of glaucoma integrated with deep learning models over medical devices. Biosyst. 238: 105156 (2024) - Pedro Miguel Sánchez Sánchez
, Alberto Huertas Celdrán, Gérôme Bovet
, Gregorio Martínez Pérez:
Single-board device individual authentication based on hardware performance and autoencoder transformer models. Comput. Secur. 137: 103596 (2024) - Xiaofeng Yang:
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models. J. Grid Comput. 22(1): 12 (2024) - Darío G. Lema
, Rubén Usamentiaga
, Daniel F. García
:
Quantitative comparison and performance evaluation of deep learning-based object detection models on edge computing devices. Integr. 95: 102127 (2024) - Mohammad Alselek
, José M. Alcaraz-Calero
, Qi Wang
:
Dynamic AI-IoT: Enabling Updatable AI Models in Ultralow-Power 5G IoT Devices. IEEE Internet Things J. 11(8): 14192-14205 (2024) - Navidreza Asadi
, Maziar Goudarzi
:
Variant Parallelism: Lightweight Deep Convolutional Models for Distributed Inference on IoT Devices. IEEE Internet Things J. 11(1): 345-352 (2024) - Riccardo Cantini, Alessio Orsino, Domenico Talia:
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices. J. Big Data 11(1): 63 (2024) - Wenjuan Li, Yunxian Liu, Fuzheng Gao, Jintao Cui
:
A weak Galerkin finite element method for 1D semiconductor device simulation models. J. Comput. Appl. Math. 438: 115531 (2024) - Sainath Reddy Sankepally, Nishoak Kosaraju, J. L. Shreya
, Vishwambhar Reddy, U. Venkanna:
A P4-Based Adversarial Attack Mitigation on Machine Learning Models in Data Plane Devices. J. Netw. Syst. Manag. 32(1): 5 (2024) - Seung Il Lee, Kwanghyun Koo, Jong Ho Lee, Gilha Lee, Sangbeom Jeong, Seongjun O, Hyun Kim:
Vision transformer models for mobile/edge devices: a survey. Multim. Syst. 30(2): 109 (2024) - Marek Zylinski
, Amir Nassibi
, Ildar Rakhmatulin, Adil Malik, Christos Michael Papavassiliou
, Danilo P. Mandic
:
Deployment of Artificial Intelligence Models on Edge Devices: A Tutorial Brief. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1738-1743 (2024) - Saifur Rahman
, Shantanu Pal
, John Yearwood
, Chandan K. Karmakar
:
Analysing Performances of DL-Based ECG Noise Classification Models Deployed in Memory-Constraint IoT-Enabled Devices. IEEE Trans. Consumer Electron. 70(1): 704-714 (2024) - Han Hu
, Yujin Huang
, Qiuyuan Chen
, Terry Yue Zhuo
, Chunyang Chen
:
A First Look at On-device Models in iOS Apps. ACM Trans. Softw. Eng. Methodol. 33(1): 26:1-26:30 (2024) - Zimeng Fan
, Wei Hu
, Fang Liu
, Dian Xu
, Hong Guo
, Yanxiang He
, Min Peng
:
A Hardware Design Framework for Computer Vision Models Based on Reconfigurable Devices. ACM Trans. Reconfigurable Technol. Syst. 17(1): 2:1-2:31 (2024) - Hai Wu, Xu Chen, Kaibin Huang:
Device-Edge Cooperative Fine-Tuning of Foundation Models as a 6G Service. IEEE Wirel. Commun. 31(3): 60-67 (2024) - Nobel Dhar
, Bobin Deng
, Dan C. Lo
, Xiaofeng Wu
, Liang Zhao
, Kun Suo
:
An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. ACM Southeast Regional Conference 2024: 69-76 - Xiang Li
, Zhenyan Lu
, Dongqi Cai
, Xiao Ma
, Mengwei Xu
:
Large Language Models on Mobile Devices: Measurements, Analysis, and Insights. EdgeFM@MobiSys 2024: 1-6 - Rainer Lutze, Klemens Waldhör:
Generating Specifications from Requirements Documents for Smart Devices Using Large Language Models (LLMs). HCI (1) 2024: 94-108 - Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks:
CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning. HPCA 2024: 861-875 - Gabriel A. Morales, Farhan Tajwar Romit, Adam Bienek-Parrish, Patrick Jenkins, Rocky Slavin:
IoT Device Classification Using Link-Level Features for Traditional Machine Learning and Large Language Models. ICISSP 2024: 297-308 - Pengcheng Ren
, Chaoshun Zuo
, Xiaofeng Liu
, Wenrui Diao
, Qingchuan Zhao
, Shanqing Guo
:
DEMISTIFY: Identifying On-device Machine Learning Models Stealing and Reuse Vulnerabilities in Mobile Apps. ICSE 2024: 41:1-41:13 - Mingyi Zhou
, Xiang Gao
, Jing Wu
, Kui Liu
, Hailong Sun
, Li Li
:
Investigating White-Box Attacks for On-Device Models. ICSE 2024: 152:1-152:12 - Kasturi Uday Aditya, Prateek N. Kamath, Yuktha Poral, Baddela Divya Mallika, Vadiraja A:
Framework for Early Cyber Attack Detection Using ML Models Deployed On Fog Devices. ISDFS 2024: 1-6 - Najmeh Nazari, Furi Xiang, Chongzhou Fang, Hosein Mohammadi Makrani, Aditya Puri, Kartik Patwari, Hossein Sayadi, Setareh Rafatirad, Chen-Nee Chuah, Houman Homayoun:
LLM-FIN: Large Language Models Fingerprinting Attack on Edge Devices. ISQED 2024: 1-6 - Atsuya Muramatsu, Hideya Ochiai, Hiroshi Esaki:
Tuning Personalized Models by Two-Phase Parameter Decoupling with Device-to-Device Communication. KST 2024: 57-61 - Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You:
HeteGen: Efficient Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices. MLSys 2024 - Stephan Stieren, Luca Lenger, Moritz Kliem, Christian Henke, Ansgar Trächtler:
Development of digital business models for holistic energy management on device, home and grid level. SysCon 2024: 1-8 - Vu Tuan Truong, Long Bao Le:
Text-Guided Real-World-to-3D Generative Models with Real-Time Rendering on Mobile Devices. WCNC 2024: 1-6 - Amanda Ericson, Stefan Forsström, Kyi Thar:
IIoT Intrusion Detection using Lightweight Deep Learning Models on Edge Devices. WFCS 2024: 1-8
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