Accepted Papers
- Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost Francesco Malandrino (CNR-IEIIT, Italy); Carla Fabiana Chiasserini (Politecnico di Torino, Italy)
- KAFKAFED: Two-Tier Federated Learning Communication Architecture for Internet of Vehicles Saira Bano and Nicola Tonellotto (University of Pisa, Italy); Pietro Cassarà (National Research Council (CNR) at Pisa, Italy); Alberto Gotta (ISTI-CNR, Italy & CNIT, Italy)
- Multi-Stage Model Compression using Teacher Assistant and Distillation with Hint-Based Training Takumi Morikawa and Keisuke Kameyama (University of Tsukuba, Japan)
- Noise Cleaning of ECG on Edge Device Using Convolutional Sparse Contractive Autoencoder Rohan Banerjee, Ayan Mukherjee and Avik Ghose (Tata Consultancy Services, India)
- On the role of smart vision sensors in energy-efficient computer vision at the edge Alberto Ancilotto (FBK, Italy); Francesco Paissan and Elisabetta Farella (Fondazione Bruno Kessler, Italy)
- Prototyping Opportunistic Learning in Resource Constrained Mobile Devices Haoxiang Yu (University of Texas at Austin, USA); Hsiao-Yuan Chen (University of Texas, USA); Sangsu Lee (University of Texas at Austin, USA); Xi Zheng (Macquarie University & School of Engineering, Australia); Christine Julien (University of Texas at Austin, USA)
- Resource-efficient Pervasive Smart Camera Networks Rockson Agyeman and Bernhard Rinner (Alpen Adria Universitat Klagenfurt, Austria)