Skip to main content
(Archived Site)
King Abdullah University of Science and Technology
Cyber Resilience Research Group
CybeResil
Cyber Resilience Research Group
Main navigation
  • Home
  • People
    • Principal Investigators
    • Research Scientists
    • Postdoctoral Fellows
    • Students
    • All Profiles
    • Faculty
  • Events
    • All Events
    • Events Calendar
  • News
  • Opportunities
    • Internship
    • All Opportunities
  • Opportunities

Federated learning

FADO: A Federated Learning Attack and Defense Orchestrator

Nuno Neves, Professor at the Department of Computer Science, Faculty of Sciences, the University of Lisboa (FCUL), Portugal.

Nov 23, 15:30 - 16:30

B5 L5 R5209

Federated learning machine learning

Federated Learning (FL) is a distributed machine learning approach that allows multiple parties to train a model collaboratively without sharing sensitive data.

Ziwu Liu

M.S. Student, Computer Science

edge computing Federated learning Machine Learning Systems resilient computing

My passion for the evolving landscape of technology has driven me to focus on the intricate interplay between resilient computing, federated learning, edge computing, and machine learning systems. My research aims to seamlessly integrate edge computing with federated learning to create resilient and adaptive machine learning systems that can operate effectively even in resource-constrained settings.

Cyber Resilience Research Group (CybeResil)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2024 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice