no code implementations • 18 Jan 2024 • Dewant Katare, David Solans Noguero, Souneil Park, Nicolas Kourtellis, Marijn Janssen, Aaron Yi Ding
While mainstream research primarily enhances class performance metrics, the hidden traits of bias inheritance in the AI models, class imbalances and disparities within the datasets are often overlooked.
no code implementations • 13 Apr 2023 • Dewant Katare, Diego Perino, Jari Nurmi, Martijn Warnier, Marijn Janssen, Aaron Yi Ding
The insights and vision from this survey can be beneficial for the collaborative driving service development on low-power and memory-constrained systems and also for the energy optimization of autonomous vehicles.
no code implementations • 5 Apr 2022 • Wiebke Toussaint Hutiri, Lauriane Gorce, Aaron Yi Ding
We propose a schema for grading the difficulty of utterance pairs, and present an algorithm for generating inclusive SV datasets.
1 code implementation • 19 Jan 2022 • Wiebke Toussaint, Aaron Yi Ding, Fahim Kawsar, Akhil Mathur
Billions of distributed, heterogeneous and resource constrained IoT devices deploy on-device machine learning (ML) for private, fast and offline inference on personal data.
no code implementations • 27 Nov 2021 • Aaron Yi Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, Thomas Hiessl, Dieter Kranzlmuller, Madhusanka Liyanage, Setareh Magshudi, Nitinder Mohan, Joerg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gurkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars Wolf
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI.
2 code implementations • 26 Jul 2021 • Wiebke Toussaint, Aaron Yi Ding
Despite the success of deep neural networks (DNNs) in enabling on-device voice assistants, increasing evidence of bias and discrimination in machine learning is raising the urgency of investigating the fairness of these systems.
no code implementations • 1 Dec 2020 • Wiebke Toussaint, Aaron Yi Ding
Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge intelligence, which is paving our way towards the vision of ubiquitous intelligence.
no code implementations • 29 May 2020 • Wiebke Toussaint, Aaron Yi Ding
Machine learning (ML) technologies are emerging in the Internet of Things (IoT) to provision intelligent services.
no code implementations • 15 May 2020 • Michael Haus, Jörg Ott, Aaron Yi Ding
To enable serendipitous interaction for indoor IoT environments, spontaneous device associations are of particular interest so that users set up a connection in an ad-hoc manner.
no code implementations • 10 Dec 2019 • Yige Zhang, Aaron Yi Ding, Jorg Ott, Mingxuan Yuan, Jia Zeng, Kun Zhang, Weixiong Rao
In this paper, by leveraging the recently developed transfer learning techniques, we design a novel Telco position recovery framework, called TLoc, to transfer good models in the carefully selected source domains (those fine-grained small subareas) to a target one which originally suffers from poor localization accuracy.
no code implementations • 3 Mar 2019 • Babak Alipour, Leonardo Tonetto, Roozbeh Ketabi, Aaron Yi Ding, Jörg Ott, Ahmed Helmy
The goal of this study is to investigate practical prediction mechanisms to quantify predictability as an aspect of human mobility modeling, across time, space and device types.
Networking and Internet Architecture I.6.4; C.2.5; J.1
no code implementations • 19 Oct 2018 • Ibbad Hafeez, Markku Antikainen, Aaron Yi Ding, Sasu Tarkoma
The increased popularity of IoT devices have made them lucrative targets for attackers.
Cryptography and Security