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Accepted papers

List of accepted papers

TITLE AUTHORS
Complexity-aware Features Selection for Wrist-worn Human Activity Recognition Susanna Peretti, Chiara Contoli and Emanuele Lattanzi (University of Urbino, Italy)
Exploring Activity Recognition in Multi-device Environments using Hierarchical Federated Learning Moid Sandhu, David Silvera-Tawil, Wei Lu and Paulo Borges – Commonwealth Scientific and Industrial Research Organisation (CSIRO)| Australia; Brano Kusy – Team Leader, Data61, CSIRO | Australia
Active Inference on the Edge: A Design Study Boris Sedlak, Victor Casamayor Pujol, Praveen Kumar Donta and Schahram Dustdar – Vienna University of Technology | Austria
Painting the Starry Night using XiNets Alberto Ancilotto, Elisabetta Farella – Fondazione Bruno Kessler | Italy
An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning Matteo Tremonti, Davide Dalle Pezze – University of Padova | Italy;  Francesco Paissan, Elisabetta Farella – Fondazione Bruno Kessler | Italy;  Gian Antonio Susto – University of Padova | Italy
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization Tianheng Ling, Julian Hoever, Chao Qian, Gregor Schiele – University of Duisburg-Essen | Germany
A Genetic Tuner for Fixed-skeleton TinyML Models  Swarnava Dey – TCS Research & Tata Consultancy Service Limited | India; Soma Dasgupta – Tata Consultancy Service Limited | India
Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data Christian Stippel, Thomas Heitzinger, Rafael Sterzinger, Martin Kampel – TU Wien | Austria
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems Jikun Gao – Toshiba Europe Ltd. | United Kingdom (Great Britain);  Ioannis Mavromatis – Digital Catapult | United Kingdom (Great Britain);  Peizheng Li – Toshiba Europe Ltd. | United Kingdom (Great Britain); Pietro Carnelli – Toshiba Research Europe | United Kingdom (Great Britain);  Aftab Khan – Toshiba Europe Ltd. | United Kingdom (Great Britain)
A Bio-inspired Low-power Hybrid Analog/Digital Spiking Neural Networks for Pervasive Smart Cameras. Yung-Ting Hsieh – Rutgers University | USA; Dario Pompili – Rutgers University | USA.
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR. Changkun Liu, Yukun Zhao, Tristan Braud – The Hong Kong University of Science and Technology | Hong Kong.