Many-objective optimization based intrusion detection for in-vehicle network security
In-vehicle network security plays a vital role in ensuring the secure information transfer
between vehicle and Internet. The existing research is still facing great difficulties in …
between vehicle and Internet. The existing research is still facing great difficulties in …
Reliable federated learning based on dual-reputation reverse auction mechanism in Internet of Things
Federated learning, a promising distributed machine learning paradigm, has been used in
various Internet of Things (IoT) environments to solve isolated data island issues and protect …
various Internet of Things (IoT) environments to solve isolated data island issues and protect …
Web 3.0 security: Backdoor attacks in federated learning-based automatic speaker verification systems in the 6G era
Y Wu, J Chen, T Lei, J Yu, MS Hossain - Future Generation Computer …, 2024 - Elsevier
With the advent of Next-Generation Web 3.0 and the integration of 6G technologies, digital
industrial applications are undergoing unprecedented transformations. Among these, the …
industrial applications are undergoing unprecedented transformations. Among these, the …
[HTML][HTML] A Trusted Federated Incentive Mechanism Based on Blockchain for 6G Network Data Security
Y Luo, B Gong, H Zhu, C Guo - Applied Sciences, 2023 - mdpi.com
The machine learning paradigms driven by the sixth-generation network (6G) facilitate an
ultra-fast and low-latency communication environment. However, specific research and …
ultra-fast and low-latency communication environment. However, specific research and …
A communication-efficient local differentially private algorithm in federated optimization
Federated optimization, wherein several agents in a network collaborate with a central
server to achieve optimal social cost over the network with no requirement for exchanging …
server to achieve optimal social cost over the network with no requirement for exchanging …
Evolutionary Neural Architecture Search and Its Applications in Healthcare
X Liu, J Li, J Zhao, B Cao, R Yan, Z Lyu - CMES-Computer Modeling …, 2024 - diva-portal.org
Most of the neural network architectures are based on human experience, which requires a
long and tedious trial-and-error process. Neural architecture search (NAS) attempts to detect …
long and tedious trial-and-error process. Neural architecture search (NAS) attempts to detect …
[引用][C] A Deep Federated Learning-Based User Credit Evaluation Model Under Financial Internet of Things Scenarios
S Gu, Z Chen - Journal of Circuits, Systems and Computers, 2024 - World Scientific
With the rapid development of Internet of Things (IoT) technology and the digital
transformation of the financial industry, the financial IoT is becoming an important trend in …
transformation of the financial industry, the financial IoT is becoming an important trend in …
[引用][C] ADCT: Adaptive Distributed Client Training for Robust Federated Learning with Non-IID Data
The efficiency of Industrial Internet of Things (IIoT) systems necessitates a robust fault
detection mechanism, which can be accomplished using Artificial Intelligence (AI). However …
detection mechanism, which can be accomplished using Artificial Intelligence (AI). However …