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20172026
most citedEnabling and Emerging Technologies for Social Distancing: A Comprehensive Survey and Open Problems

167 citations · 205 across the 44 of their papers we have counts for

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Showing cs.LGShow all

8 papers · 1 filter

cs.LG2026

Deep Learning-Driven Friendly Jamming for Secure Multicarrier ISAC Under Channel Uncertainty

Bui Minh Tuan, Van-Dinh Nguyen, Diep N. Nguyen +5

Integrated sensing and communication (ISAC) systems promise efficient spectrum utilization by jointly supporting radar sensing and wireless communication. This paper presents a dee…

cs.LG2025

Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learning

Thanh Linh Nguyen, Dinh Thai Hoang, Diep N. Nguyen +1

Critical learning periods (CLPs) in federated learning (FL) refer to early stages during which low-quality contributions (e.g., sparse training data availability) can permanently i…

cs.LG2024

Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems

Phai Vu Dinh, Diep N. Nguyen, Dinh Thai Hoang +3

While intrusion detection systems (IDSs) benefit from the diversity and generalization of IoT data features, the data diversity (e.g., the heterogeneity and high dimensions of data…

cs.LG2024

CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins

Mohammad, Jamshidi, Dinh Thai Hoang +1

Digital twins (DTs) are revolutionizing the biotechnology industry by enabling sophisticated digital representations of biological assets, microorganisms, drug development processe…

cs.LG2023

Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems

Phai Vu Dinh, Quang Uy Nguyen, Dinh Thai Hoang +3

Intrusion detection systems (IDSs) play a critical role in protecting billions of IoT devices from malicious attacks. However, the IDSs for IoT devices face inherent challenges of…

cs.LG2023

Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control

Minh Ngoc Luu, Minh-Duong Nguyen, Ebrahim Bedeer +4

An intelligent Real-Time Sensing (RTS) system must continuously acquire, update, integrate, and apply knowledge to adapt to real-world dynamics. Managing distributed intelligence i…