9 citations · 26 across the 16 of their papers we have counts for
6 papers · 1 filter
Time-constrained Federated Learning (FL) in Push-Pull IoT Wireless Access
Van Phuc Bui, Junya Shiraishi, Petar Popovski +1
Training a high-quality Federated Learning (FL) model at the network edge is challenged by limited transmission resources. Although various device scheduling strategies have been p…
Content-based Wake-up for Energy-efficient and Timely Top-k IoT Sensing Data Retrieval
Junya Shiraishi, Anders E. Kalør, Israel Leyva-Mayorga +3
Energy efficiency and information freshness are key requirements for sensor nodes serving Industrial Internet of Things (IIoT) applications, where a sink node collects informative…
Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems
Merim Dzaferagic, Marco Ruffini, Nina Slamnik-Krijestorac +21
Multiple visions of 6G networks elicit Artificial Intelligence (AI) as a central, native element. When 6G systems are deployed at a large scale, end-to-end AI-based solutions will…
EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models
Mathias Thorsager, Victor Croisfelt, Junya Shiraishi +1
This paper introduces EcoPull, a sustainable Internet of Things (IoT) framework empowered by tiny machine learning (TinyML) models for fetching images from wireless visual sensor n…
Coexistence of Push Wireless Access with Pull Communication for Content-based Wake-up Radios
Junya Shiraishi, Sara Cavallero, Shashi Raj Pandey +2
This paper considers energy-efficient connectivity for Internet of Things (IoT) devices in a coexistence scenario between two distinctive communication models: pull- and push-based…
Coexistence of Pull and Push Communication in Wireless Access for IoT Devices
Sara Cavallero, Fabio Saggese, Junya Shiraishi +3
We consider a setup with Internet of Things (IoT), where a base station (BS) collects data from nodes that use two different communication modes. The first is pull-based, where the…