SPCN-SS3.1
ONLINE CONTINUAL LEARNING FOR ANOMALY DETECTION IN IOT UNDER DATA DISTRIBUTION SHIFTS
Matea Marinova, Ss. Cyril and Methodius University in Skopje, Macedonia, Rep. of; Shashi Raj Pandey, Junya Shiraishi, Martin Voigt Vejling, Aalborg University, Denmark; Valentin Rakovic, Ss. Cyril and Methodius University in Skopje, Macedonia, Rep. of; Petar Popovski, Aalborg University, Denmark
Session:
Reliable AI for Next-Generation Wireless Communications and Networking Lecture
Track:
20: Reliable AI for Next-Generation Wireless Communications and Networking
Location:
Forum 6
Session Time:
Thu, 3 Sep, 14:40 - 15:40
Presentation Time:
Thu, 3 Sep, 14:40 - 15:00
Session Chair:
Yunchuan Zhang, Wuhan University of Technology
Presentation
Discussion
Session SPCN-SS3
SPCN-SS3.1: ONLINE CONTINUAL LEARNING FOR ANOMALY DETECTION IN IOT UNDER DATA DISTRIBUTION SHIFTS
Matea Marinova, Ss. Cyril and Methodius University in Skopje, Macedonia, Rep. of; Shashi Raj Pandey, Junya Shiraishi, Martin Voigt Vejling, Aalborg University, Denmark; Valentin Rakovic, Ss. Cyril and Methodius University in Skopje, Macedonia, Rep. of; Petar Popovski, Aalborg University, Denmark
SPCN-SS3.2: Generalization Analysis for Data-Driven MIMO Detection with Graph Neural Networks
Yongwei Yi, Xinping Yi, Wenjin Wang, Xiao Li, Shi Jin, Southeast University, China
SPCN-SS3.3: OPTIMAL LARGE-SCALE FINITE-HORIZON OPTIMIZATION VIA RANDOM MATRIX THEORY
Yue Xu, Shuo Zhang, Gui Zhou, Zhenyu Liao, EIC, Huazhong University of Science and Technology, China
Resources
No resources available.