2024 Proceeding
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A Transformer-free signal encoding module for efficient networked AI systems
This research introduces a framework for constructing networked artificial intelligence systems featuring a lightweight neural network front-end tailored for long and intricate sequential data, such as audio voice recordings and health signals. Our ...
Learn to Update Digital Twins with Incremental Scenarios
Digital twins serve as vital tools for monitoring and simulating real-world systems, yet ensuring their accuracy and adaptability in dynamic scenarios remains a challenge. In this paper, we introduce FlexiTwin, a digital twin updating assistance platform ...
Neural Sum Rate Maximization for AI-Native Wireless Networks: Alternating Direction Method of Multipliers Framework and Algorithm Unrolling
In this paper, we introduce Neural Sum Rate Maximization to address nonconvex problems in maximizing sum rates with a total power constraint for downlink multiple access. We combine the optimization-theoretic methods and neural network-based algorithm ...
Generating Multivariate Synthetic Time Series Data for Absent Sensors from Correlated Sources
Missing sensor data in human activity recognition is an active field of research that is being targeted with generative models for synthetic data generation. In contrast to most previous approaches, we aim to generate data of a sensor exclusively from ...
Advancements in UWB: Paving the Way for Sovereign Data Networks in Healthcare Facilities
- Khan Reaz,
- Thibaud Ardoin,
- Lea Muth,
- Marian Margraf,
- Gerhard Wunder,
- Mahsa Kholghi,
- Kai Jansen,
- Christian Zenger,
- Julian Schmidt,
- Enrico Köppe,
- Zoran Utkovski,
- Igor Bjelakovic,
- Mathis Schmieder,
- Olaf Dressel
Ultra-Wideband (UWB) technology re-emerges as a groundbreaking ranging technology with its precise micro-location capabilities and robustness. This paper highlights the security dimensions of UWB technology, focusing in particular on the intricacies of ...
Impact of Joint Heat and Memory Constraints of Mobile Device in Edge-Assisted On-Device Artificial Intelligence
Recently, consumer demand for artificial intelligence (AI) applications using deep neural network (DNN) model such as large language model (LLM), miXed Reality (XR), and AI assistants has been steadily increasing. Hitherto, on-device AI and offloaded ...