Authors are invited to submit manuscripts to the special section on Emerging Edge AI for Human-in-the-Loop Cyber Physical Systems. Relevant topics of interest to this special section include (but are not limited to): Foundations of Human-in-the-Loop Cyber Physical Systems EdgeAI-Human-IoT Interactions Federated Learning for EdgeAI Context-Aware Applications and Services Cloud-edge Continuum Security and Privacy Prototypes, Field […]
Author Archive for: allen.farcas
About Allen Farcas
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Excited to announce our latest publication: “Teaching Edge AI at the Undergraduate Level: A Hardware–Software Co-Design Approach“, our unique course taught @UTAustin as the cover feature in the November special issue from IEEE Computer @ComputerSociety.
Professor Radu Marculescu organized a special session at ESWEEK and also gave a talk about Communication-aware Distributed Training and Inference at the Edge. The entire special session was recorded and can be viewed below. Check the initial announcement our group made on Twitter. Follow us on LinkedIn and Twitter for more news.
Professor Radu Marculescu held a keynote “EdgeAI: New Directions in Distributed Deep Learning for IoT Applications” at RTCSA 2021. Slides are available here.
Prof. Radu Marculescu
System Level Design Group
Electrical and Computer Engineering
The University of Texas at Austin
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