The School of Computer Science at the University of Windsor is pleased to present…

Technical Workshop Presentation by: Safiia Mohammed – PhD Student

Federated Learning and its Applications

 Date: Thursday, November 24th, 2022 

Time: 12:00 pm – 1:00 pm 

Location: 4^th 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 applications 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: TensorFlow federated and Flower, and how to add more privacy to federated learning.

At the end of this workshop, the audience should be able to:

– Identify the concepts of federated learning, its characteristics and its advantages.

– Set FL environment

– Perform model training in Federated Learning environment

– Implement federated learning on tensor-flow federated and flower frameworks.

Prerequisites:

Python preferred to know PyTorch/TensorFlow frameworks

Workshop Outline:

–  Federated Learning platforms : (10 minutes)

– Practical: TensorFlow ( Practical exercise I) (20 mins)

– Flower ( Practical exercise II ) (20 mins)

– Q&A and discussions (10  mins)

Biography: 

 Safiia is a PhD candidate and research assistant in the School of Computer Science.

Research interest: Privacy and security of machine learning, Biometrics, and Digital Forensics.