Wednesday, June 11, 2025 - 13:00
The School of Computer Science presents....
Federated learning, Privacy and Security (2nd Offering)
Presenter: Safiia Mohammed
Date: Wednesday, June 11th, 2025
Time: 1:00 pm
Location: 4th Floor (Lecture Space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
Abstract:
This workshop will cover the main concepts of Federated Learning, which is when different agents/ workers can join a federated environment to train their models without sharing their datasets. The workshop will give open-source privacy and security issues in Federated Learning.
This workshop will cover the main concepts of Federated Learning, which is when different agents/ workers can join a federated environment to train their models without sharing their datasets. The workshop will give open-source privacy and security issues in Federated Learning.
Workshop Outline:
- What is federated learning?
- Federated learning architecture / how does it work?
- FL vs centralized learning
- FL applications
- Privacy issues in FL
- Hands-on
Prerequisites:
Background about AI and Machine learning
Biography:
Safiia is a PhD student at the School of Computer Science; her research interests include Responsible AI, Privacy, Security, and Digital Forensics.