The School of Computer Science - Technical Workshop Series
The School of Computer Science at the University of Windsor is pleased to present...
Technical Workshop Presentation by: Safiia Mohammed - PhD Candidate
Introduction to Federated Learning – Part 1
Presenter: Safiia Mohammed – PhD Candidate
Date: Tuesday, October 18th, 2022
Time: 6:00pm – 7:00pm
Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
This workshop will cover the main concepts of Federated Learning, when different agents/ workers can join a federated environment to train their models without sharing their datasets. The workshops will give examples of working on open-source frameworks.
At the end of this workshop, the audience should be able to:
- Identify the concepts of federated learning, its characteristics and its advantages.
- Recognize how does FL work?
Python preferred to know PyTorch/tensor flow frameworks.
Introduction to Federated Learning (FL) (50 minutes)
What is federated learning (5 minutes)
Federated learning architecture / how does it work? (15)
FL vs centralized learning (10)
FL applications (10)
Privacy issues in FL (10)
Q&A and discussions (10 mins)
Safiia is currently a PhD candidate and research assistant in the School of Computer Science.
Research interest: Privacy and security of machine learning, Biometrics, and Digital Forensics.