Pozivamo vas na predavanje
"Machine Learning for Internet of Things"
koje će održati izv. prof. dr. sc. Katarina Grolinger, Sveučilište Western, Kanada. Predavanje će se održati u ponedjeljak, 2. listopada 2023. godine u 12:00 sati u Sivoj vijećnici Fakulteta elektrotehnike i računarstva (FER).
Sažetak predavanja i životopis predavača možete pronaći u nastavku.
The volume of connected devices such as smartphones, wearable devices, and environmental sensors, is growing at an unprecedented, rate resulting in the explosion of data. While this is creating the foundation for smart systems such as smart cities, smart healthcare, smart grid, and Industry 4.0, the realization of these systems relies on our ability to analyze data, with Machine Learning (ML) and AI are their core. A typical ML approach, and especially a deep learning one, involves transferring data from devices (e.g., smartwatches, medical sensors) to a centralized location or cloud for model training, and then delivers results or the trained model to the consumers. This talk will examine drawbacks of such ML workflow including: (i) static models that miss opportunities to learn from new data, (ii) privacy concerns and security risks due to required data sharing with the centralized system, (iii) the strain on communication networks caused by transferring large IoT data, and (iv) scalability issues. Next, our recent work on addressing these challenges through online (continual) learning, federated learning, transformers, and scaling ML will be discussed. Finally, the talk will conclude with a discussion of future research directions.
Dr. Katarina Grolinger is an Assistant Professor in the Department of Electrical and Computer Engineering at Western University, Canada. She is also a faculty affiliate at Vector Institute for Artificial Intelligence. Dr. Grolinger received the B.Sc. and M.Sc. degrees in mechanical engineering from the University of Zagreb, Croatia, and the M.Eng. and Ph.D. degrees in software engineering from Western University, Canada. She serves as an Associate Editor for IEEE Transactions on Industrial Informatics and is on the editorial board of Smart Cities journal. In 2022, she was awarded the Engineering Junior Faculty Award for Excellence in Research by Western Engineering. Last three years, she has been chairing a resource allocation committee for Digital Research Alliance of Canada. According to Google Scholar, just in 2023, her work was cited over 850 times, and on Web of Science, three of her publications are among the top 1% most cited publications in their respective research area, publication year, and document type. Dr. Grolinger works on the intersection of machine learning and IoT: she is developing holistic and responsible machine learning solutions for smart systems in order to circumvent barriers to machine learning adoption in engineering practice and increase economical and social benefits of machine learning.