Searched for: author%3A%22Ding%2C+Aaron+Yi%22
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Damsgaard, Hans Jakob (author), Grenier, Antoine (author), Katare, D. (author), Taufique, Zain (author), Shakibhamedan, Salar (author), Troccoli, Tiago (author), Chatzitsompanis, Georgios (author), Kanduri, Anil (author), Ding, Aaron Yi (author)
Recent advancements in hardware and software systems have been driven by the deployment of emerging smart health and mobility applications. These developments have modernized the traditional approaches by replacing conventional computing systems with cyber–physical and intelligent systems combining the Internet of Things (IoT) with Edge...
review 2024
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Hutiri, Wiebke (author), Ding, Aaron Yi (author), Kawsar, Fahim (author), Mathur, Akhil (author)
Billions of distributed, heterogeneous, and resource constrained IoT devices deploy on-device machine learning (ML) for private, fast, and offline inference on personal data. On-device ML is highly context dependent and sensitive to user, usage, hardware, and environment attributes. This sensitivity and the propensity toward bias in ML makes...
journal article 2023
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Ding, Aaron Yi (author), van den Boogert, R.J. (author)
With rising numbers of people living in cities leading to increasing congestion and pollution, mobile crowdsensing applications form a potential solution to make transport systems smarter and more efficient. However, sharing data comes with the risk of private information being disclosed. Therefore, a clear incentive is necessary to motivate...
journal article 2023
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Katare, D. (author), Perino, Diego (author), Nurmi, Jari (author), Warnier, Martijn (author), Janssen, M.F.W.H.A. (author), Ding, Aaron Yi (author)
Autonomous driving services depends on active sensing from modules such as camera, LiDAR, radar, and communication units. Traditionally, these modules process the sensed data on high-performance computing units inside the vehicle, which can deploy intelligent algorithms and AI models. The sensors mentioned above can produce large volumes of data...
journal article 2023
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Katare, D. (author), Kourtellis, Nicolas (author), Park, Souneil (author), Perino, Diego (author), Janssen, M.F.W.H.A. (author), Ding, Aaron Yi (author)
A machine learning model can often produce biased outputs for a familiar group or similar sets of classes during inference over an unknown dataset. The generalization of neural networks have been studied to resolve biases, which has also shown improvement in accuracy and performance metrics, such as precision and recall, and refining the dataset...
conference paper 2023
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Li, Wanda (author), Xu, Zhiwei (author), Sun, Yi (author), Gong, Qingyuan (author), Chen, Y. (author), Ding, Aaron Yi (author), Wang, Xin (author), Hui, Pan (author)
Outstanding users (OUs) denote the influential, 'core' or 'bridge' users in online social networks. How to accurately detect and rank them is an important problem for third-party online service providers and researchers. Conventional efforts, ranging from early graph-based algorithms to recent machine learning-based approaches, typically rely on...
journal article 2023
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Katare, D. (author), Ding, Aaron Yi (author)
Connected vehicular services depend heavily on communication as they frequently transmit data and AI models/weights within the vehicular ecosystem. Energy efficiency in vehicles is crucial to keep up with the fast-growing demand for vehicular data processing and communication. To tackle this rising challenge, we explore approximation and edge AI...
conference paper 2023
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Geers, Artur (author), Ding, Aaron Yi (author), Hernandez Ganan, C. (author), Parkin, S.E. (author)
The smishing-based malware Flubot was taken down in mid-2022, yet there is little understanding of how it directly impacted smartphone users. We engage with customers of a partner Internet Service Provider (ISP), who have suffered a Flubot infection on their smartphones. We surveyed 87 ISP customers who had been notified of a Flubot infection,...
conference paper 2023
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Zhou, Pengyuan (author), Lee, Lik Hang (author), Liu, Zhi (author), Qiu, Hang (author), Braud, Tristan (author), Ding, Aaron Yi (author), Tarkoma, Sasu (author), Hui, Pan (author)
The metaverse aims to blur the boundary between the physical world and digital content. To achieve this goal, the metaverse relies heavily on extended reality (XR), the Internet of Things, and communication technologies. Concurrently, connected vehicles and intelligent transportation systems (ITSs) are envisioned as the future paradigm of...
review 2023
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Mosterd, Lars (author), Sobota, V.C.M. (author), van de Kaa, G. (author), Ding, Aaron Yi (author), de Reuver, Mark (author)
As digital platforms are dominating the digital economy, complex ecologies of platforms are emerging. While the openness of digital platforms is an important theme in platform studies, the openness between platforms has hardly been studied. This paper explores factors that affect decisions by platform owners to open their platforms to other...
journal article 2022
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Hutiri, Wiebke (author), Ding, Aaron Yi (author)
Automated speaker recognition uses data processing to identify speakers by their voice. Today, automated speaker recognition is deployed on billions of smart devices and in services such as call centres. Despite their wide-scale deployment and known sources of bias in related domains like face recognition and natural language processing, bias in...
conference paper 2022
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Ottun, Abdul Rasheed (author), Mane, Pramod C. (author), Yin, Zhigang (author), Paul, Souvik (author), Liyanage, Mohan (author), Pridmore, Jason (author), Ding, Aaron Yi (author), Sharma, Rajesh (author), Nurmi, Petteri (author), Flores, Huber (author)
Federated learning (FL) is a promising privacy-preserving solution to build powerful AI models. In many FL scenarios, such as healthcare or smart city monitoring, the user's devices may lack the required capabilities to collect suitable data, which limits their contributions to the global model. We contribute social-aware federated learning...
journal article 2022
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Bagave, P. (author), Westberg, M. (author), Dobbe, R.I.J. (author), Janssen, M.F.W.H.A. (author), Ding, Aaron Yi (author)
Various AI systems have taken a unique space in our daily lives, helping us in decision-making in critical as well as non-critical scenarios. Although these systems are widely adopted across different sectors, they have not been used to their full potential in critical domains such as the healthcare sector enabled by the Internet of Things (IoT)...
conference paper 2022
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Tonetto, Leonardo (author), Carrara, Andrea (author), Ding, Aaron Yi (author), Ott, Jörg (author)
Bluetooth trackers, or tags, have quickly become ubiquitous and widely supported by multiple vendors. Beyond their original design of finding lost objects, these devices have the ability to extend the capabilities of current wireless smart devices. Since its launch in 2019, Apple’s FindMy enables any devices from their brand to be easily tracked...
conference paper 2022
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Hutiri, Wiebke (author), Gorce, Lauriane (author), Ding, Aaron Yi (author)
Speaker verification (SV) provides billions of voice-enabled devices with access control, and ensures the security of voice-driven technologies. As a type of biometrics, it is necessary that SV is unbiased, with consistent and reliable performance across speakers irrespective of their demographic, social and economic attributes. Current SV...
journal article 2022
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Cozzolino, Vittorio (author), Tonetto, Leonardo (author), Mohan, Nitinder (author), Ding, Aaron Yi (author), Ott, Jorg (author)
Widespread adoption of mobile augmented reality (AR) and virtual reality (VR) applications depends on their smoothness and immersiveness. Modern AR applications applying computationally intensive computer vision algorithms can burden today's mobile devices, and cause high energy consumption and/or poor performance. To tackle this challenge, it...
journal article 2022
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Peltonen, Ella (author), Ahmad, Ijaz (author), Aral, Atakan (author), Capobianco, Michele (author), Ding, Aaron Yi (author), Gil-Castineira, Felipe (author), Gilman, Ekaterina (author), Harjula, Erkki (author), Jurmu, Marko (author)
Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the...
journal article 2022
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Tonetto, Leonardo (author), Adikari, Malintha (author), Mohan, Nitinder (author), Ding, Aaron Yi (author), Ott, Jörg (author)
Human mobility shapes our daily lives, our urban environment and even the trajectory of a global pandemic. While various aspects of human mobility and inter-personal contact duration have already been studied separately, little is known about how these two key aspects of our daily lives are fundamentally connected. Better understanding of such...
journal article 2022
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Hutiri, Wiebke (author), Ding, Aaron Yi (author)
In an age of surveillance capitalism, anchoring the design of emerging smart services in trustworthiness is urgent and important. Edge Intelligence, which brings together the fields of AI and Edge computing, is a key enabling technology for smart services. Trustworthy Edge Intelligence should thus be a priority research concern. However,...
conference paper 2022
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Ding, Aaron Yi (author), Peltonen, Ella (author), Meuser, Tobias (author), Aral, Atakan (author), Becker, Christian (author), Dustdar, Schahram (author), Hiessl, Thomas (author), Kranzlmüller, Dieter (author), Liyanage, Madhusanka (author), Maghsudi, Setareh (author), Mohan, Nitinder (author), Ott, Jörg (author), Rellermeyer, Jan S. (author), Schulte, Stefan (author), Schulzrinne, Henning (author), Solmaz, Gürkan (author), Tarkoma, Sasu (author), Varghese, Blesson (author), Wolf, Lars (author)
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. In a nutshell, we envision Edge AI to provide adaptation for data-driven applications, enhance network and radio access, and allow the creation,...
journal article 2022
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