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)