Machine Learning over Networks: From Fundamentals to Applications
Details
Join us for an IEEE Distinguished Lecture by Dr. Tamer ElBatt, IEEE Communications Society Distinguished Lecturer and Professor of Computer Science and Engineering at The American University in Cairo.
This talk explores recent advances in machine learning over networks and edge intelligence, with a focus on communication-efficient federated learning and practical applications.
Topics will include:
- Communication-efficient federated learning
- Fed-Sophia and learning with non-IID data
- Federated multi-task learning for fine-tuning LLMs
- Edge intelligence for digital health
- Multi-tier intelligence for IoT systems
### Speaker
Dr. Tamer ElBatt
IEEE Communications Society Distinguished Lecturer
Professor, The American University in Cairo
Dr. ElBatt's research focuses on wireless networks, mobile computing, IoT systems, machine learning and edge intelligence. He has published more than 165 papers, holds multiple U.S. patents, and has served in numerous IEEE and ACM technical leadership roles.
### Agenda
3:00 PM – 4:00 PM
Networking
4:00 PM – 4:45 PM
Presentation
4:45 PM – 5:30 PM
Q&A
5:30 PM – 6:30 PM
Networking
### Location
Santa Clara University
Sobrato Campus for Discovery and Innovation
Room 1308
500 El Camino Real
Santa Clara, CA 95053