Summer School 2021 (Virtual) - Advances and Challenges of Artificial Intelligence in the Internet-of-Things Era

#AI #IoT #Deep #Learning #Reinforcement #Federated

Internet-of-Things (IoT) is a paradigm shifting technology that advances various aspects in our life in recent years. The proliferation of Artificial Intelligence (AI) opens up the possibility of integrating intelligence into various IoT devices, which creates many smart and efficient solutions in areas such as healthcare, security surveillance, self-drive car, human activity recognition, transportation, robots in manufacturing, and risk management to name a few. The IoT devices range from high-end computers to mobile devices and low-end microcontroller, wherein many of them are resource-constrained in computation power and storage. Due to this reason, it is challenging to apply deep learning (mostly computationally extensive and requiring high storage space) into resource-constrained IoT devices. To address these challenges, various approaches have been proposed to make deep learning lightweight and optimized for resource-constrained devices. In this workshop, we will review and discuss the representative techniques on the hardware level (hardware acceleration techniques) as well as on the software level (model compression techniques). We will also deal with the fundamental aspects of reinforcement learning, challenges and progresses in face recognition, biometric applications and federated learning. Interesting research areas are presented to design future networks based on AI.

*The detailed information about this workshop is available at https://ai-security.github.io/summer-school-2021.

15 July 2021

16 July 2021