标题
Federated deep learning for anomaly detection in the internet of things
作者
关键词
-
出版物
COMPUTERS & ELECTRICAL ENGINEERING
Volume 108, Issue -, Pages 108651
出版商
Elsevier BV
发表日期
2023-03-23
DOI
10.1016/j.compeleceng.2023.108651
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Federated learning for malware detection in IoT devices
- (2022) Valerian Rey et al. Computer Networks
- Formulaic language identification model based on GCN fusing associated information
- (2022) Fanqi Meng et al. PeerJ Computer Science
- Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection
- (2022) Mohanad Sarhan et al. Journal of Network and Systems Management
- Enhancing Physical-Layer Security for IoT With Nonorthogonal Multiple Access Assisted Semi-Grant-Free Transmission
- (2022) Kunrui Cao et al. IEEE Internet of Things Journal
- Data Collection in MI-Assisted Wireless Powered Underground Sensor Networks: Directions, Recent Advances, and Challenges
- (2021) Guanghua Liu IEEE COMMUNICATIONS MAGAZINE
- Improving high-impact bug report prediction with combination of interactive machine learning and active learning
- (2021) Xiaoxue Wu et al. INFORMATION AND SOFTWARE TECHNOLOGY
- Optimized and federated soft-impute for privacy-preserving tensor completion in cyber-physical-social systems
- (2021) Jia Yang et al. INFORMATION SCIENCES
- Anomaly Detection Using Deep Neural Network for IoT Architecture
- (2021) Zeeshan Ahmad et al. Applied Sciences-Basel
- DeepBAN: A Temporal Convolution-Based Communication Framework for Dynamic WBANs
- (2021) Kunqian Liu et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog
- (2021) Qinglei Kong et al. IEEE Transactions on Industrial Informatics
- TrustFed: A Framework for Fair and Trustworthy Cross-Device Federated Learning in IIoT
- (2021) Muhammad Habib ur Rehman et al. IEEE Transactions on Industrial Informatics
- EaSTFLy: Efficient and secure ternary federated learning
- (2020) Ye Dong et al. COMPUTERS & SECURITY
- Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems
- (2020) Yunlong Lu et al. IEEE NETWORK
- A Structural Evolution-Based Anomaly Detection Method for Generalized Evolving Social Networks
- (2020) Huan Wang et al. COMPUTER JOURNAL
- A trusted feature aggregator federated learning for distributed malicious attack detection
- (2020) Xinhong Hei et al. COMPUTERS & SECURITY
- When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network
- (2020) Shuai Yu et al. IEEE Internet of Things Journal
- IoT-Based Big Data Secure Management in the Fog Over a 6G Wireless Network
- (2020) Christos L. Stergiou et al. IEEE Internet of Things Journal
- Adaptive Federated Learning and Digital Twin for Industrial Internet of Things
- (2020) Wen Sun et al. IEEE Transactions on Industrial Informatics
- Deep Residual Correction Network for Partial Domain Adaptation
- (2020) Shuang Li et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Security in Internet of Things: issues, challenges, taxonomy, and architecture
- (2017) Vipindev Adat et al. TELECOMMUNICATION SYSTEMS
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