tinyML Talks: Energy-Efficiency and Security for TinyML and EdgeAI: A Cross-Layer Approach

“Energy-Efficiency and Security for TinyML and EdgeAI: A Cross-Layer Approach“ Prof. Dr. Muhammad Shafique Department of Electrical and Computer Engineering (ECE) New York University Abu Dhabi (NYUAD), UAE ECE, Tandon School of Engineering New York University (NYU), USA Co-PI / Co-Investigator in Center of Artificial Intelligence and Robotics (CAIR), Center of Cyber Security (CCS) Center for InTeractIng urban nEtworkS (CITIES), and Center for Quantum and Topological Systems Modern Machine Learning (ML) approaches like Deep Neural Networks (DNNs) have shown tremendous improvement over the past years to achieve a significantly high accuracy for a certain set of tasks, like image classification, object detection, natural language processing, and medical data analytics. However, these DNN require huge processing, memory, and energy costs, besides being vulnerable to several security threats. This talk will present challenges and cross-layer frameworks for buildi