Technical Workshop - Federated Learning, Privacy and Security (1st Offering) by: Safiia Mohammed

Tuesday, June 10, 2025 - 14:00

The School of Computer Science is pleased to present......

 

 Federated Learning, Privacy and Security (1st Offering)

Presenter:  Safiia Mohammed

 

Date: Tuesday, June 10th, 2025

Time:  2:00 pm

Location: 4th Floor (Workshop 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.

 

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.

Registration Link (only MAC students need to pre-register)