Enhancing Critical Infrastructure Cybersecurity: Collaborative DNN Synthesis in the Cloud Continuum

23 May 2024

Papers citing "Enhancing Critical Infrastructure Cybersecurity: Collaborative DNN Synthesis in the Cloud Continuum"

9 / 9 papers shown

Title
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices Di Xu Xiang He Tonghua Su Zhongjie Wang 52 6 0 20 Apr 2023
Federated Learning Challenges and Opportunities: An Outlook Jie Ding Eric W. Tramel Anit Kumar Sahu Shuang Wu Salman Avestimehr Tao Zhang FedML 105 57 0 01 Feb 2022
Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis Yatin Dandi Arthur Jacot FAtt 48 4 0 06 Nov 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI Amin Banitalebi-Dehkordi Naveen Vedula J. Pei Fei Xia Lanjun Wang Yong Zhang 47 89 0 30 Aug 2021
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality Vincent Froese Christoph Hertrich R. Niedermeier 28 24 0 18 May 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 200 278 0 14 Dec 2020
Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset Nickolaos Koroniotis Nour Moustafa E. Sitnikova B. Turnbull 44 1,219 0 02 Nov 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 227 1,700 0 14 Apr 2018
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training Anirban Santara Debapriya Maji D. Tejas Pabitra Mitra Arobinda Gupta AI4CE 31 9 0 09 Mar 2016