INTERACT 2024

The INTERACT workshop focuses on a cutting-edge area at the intersection of Machine Learning (ML), the Internet of Things (IoT), and communication networks. This field is specifically concerned with developing and optimizing techniques for deploying and operating TinyML on IoT devices used in consumer applications while ensuring seamless communication and networking. The main challenges in this field involve handling the trade-off between resource usage (battery life, data usage) and maintaining high levels of performance and reliability in the machine learning models and communication protocols. This includes optimizing power-efficient algorithms, creating robust low-power communication protocols, managing devices' networks, and ensuring reliable and timely data transfer. In summary, INTERACT focuses on an exciting and challenging field of research that has the potential to significantly impact the way we interact with technology in our daily lives. Edge computing concepts are critical to this research area. By processing data closer to where it is generated, TinyML can significantly enhance the responsiveness and efficiency of IoT systems, particularly in environments with limited connectivity. This approach minimizes latency, reduces bandwidth use, and further optimizes the operation of TinyML on consumer devices, making it a critical component in the evolution of intelligent technologies.