09:30 Opening

09:45-10:45 Keynote Speech I  

Speaker: Nicholas Lane (University of Cambridge, UK)
Title: Scaling and Accelerating Federated Learning Research with Flower

10:45-11:00 Coffee Break

11:00-12:00 Session I, On-device learning I

Takumi Morikawa, Keisuke Kameyama. Multi-Stage Model Compression using Teacher Assistant and Distillation with Hint-Based Training.
Rohan Banerjee, Ayan Mukherjee, Avik Ghose. Noise Cleaning of ECG on Edge Device Using Convolutional Sparse Contractive Autoencoder.

12:00-13:15 LUNCH Break

13:15-14:15 Session II, On-device learning II

Alberto Ancilotto, Francesco Paissan, Elisabetta Farella. On the Role of Smart Vision Sensors in Energy-Efficient Computer Vision at the Edge.
Rockson Agyeman, Bernhard Rinner. Resource-Efficient Pervasive Smart Camera Networks.

14:30-15:30 Keynote Speech II

Speaker: Venkatesh Saligrama (Boston University, USA)
Title: Personalizing Federated Learning to the Edge Device

15:30-15:45 Coffee Break

15:45-17:15 Session III, Federated and opportunistic learning

Francesco Malandrino, Carla Fabiana Chiasserini. Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost.
Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta. KAFKAFED: Two-Tier Federated Learning Communication Architecture for Internet of Vehicles.
Haoxiang Yu, Hsiao-Yuan Chen, Sangsu Lee, Xi Zheng, Christine Julien. Prototyping Opportunistic Learning in Resource-Constrained Mobile Devices.

17:15-18:15 Concluding Remarks (Prof. Plamen Angelov)