FADED: FAult DEtection and Diagnostic System for HVAC Sensors in Commercial Buildings
Altynay Smagulova and Alberto Cerpa (University of California, Merced)
AdaTM: Logic Inspired Adaptive Tsetlin Machines for Efficient and Effective Continual Learning on the Edge
Chong Tang, Neelam Singh, and Jagmohan Chauhan (University of Southampton)
I Still See You: Why Existing IoT Traffic Reshaping Fails
Su Wang, Keyang Yu, Qi Li, and Dong Chen (Colorado School of Mines)
Antler: Exploiting Task Affinity for Efficient Multitask Learning on Low-Resource Systems
Yubo Luo, Shahriar Nirjon (University of North Carolina at Chapel Hill), Le Zhang (University of California San Diego), and Zhenyu Wang (University of North Carolina at Chapel Hill)
Sunlight-Duo: Exploiting Sunlight for Simultaneous Energy Harvesting & Communication
Talia Xu, Mirco Muttillo, Miguel Chavez Tapia, Patrizio Manganiello (Delft University of Technology), Harald Haas (The University of Strathclyde), and Marco Zuniga Zamalloa (Delft University of Technology)
Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems
Pietro Farina (University of Trento), Subrata Biswas (Worcester Polytechnic Institute), Eren Yildiz (Ege University), Khakim Akhunov (University of Trento), Saad Ahmed (Georgia Institute of Technology), Bashima Islam (Worcester Polytechnic Institute), and Kasim Sinan Yildirim (University of Trento)
FedReG: Recouping the Global Model in Personalized Federated Learning
Tianyi Liu, Mingkun Yang, and Qing Wang (Delft University of Technology)
Concise Paper: Towards On-board Radiometric Fingerprinting Fully Integrated on an Embedded System
Wenqing Yan (Uppsala University), Mikolai Gütschow (TU Dresden), Thiemo Voigt, Christian Rohner (Uppsala University)