126 citations · 416 across the 20 of their papers we have counts for
21 papers
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
Dewant Katare, Diego Perino, Jari Nurmi +3
Autonomous driving services rely heavily on sensors such as cameras, LiDAR, radar, and communication modules. A common practice of processing the sensed data is using a high-perfor…
Design Guidelines for Inclusive Speaker Verification Evaluation Datasets
Wiebke Toussaint Hutiri, Lauriane Gorce, Aaron Yi Ding
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 nece…
Bias in Automated Speaker Recognition
Wiebke Toussaint Hutiri, Aaron Ding
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 service…
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows
Wiebke Toussaint, Aaron Yi Ding, Fahim Kawsar +1
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-devi…
Roadmap for Edge AI: A Dagstuhl Perspective
Aaron Yi Ding, Ella Peltonen, Tobias Meuser +16
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…
Design Considerations for Data Daemons: Co-creating Design Futures to Explore Ethical Personal Data Management
Wiebke Toussaint, Alejandra Gomez Ortega, Jered Vroon +6
Mobile applications and online service providers track our virtual and physical behaviour more actively and with a broader scope than ever before. This has given rise to growing co…