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. |