Quantum Federated Learning for Fraud Detection background cover

Quantum Federated Learning for Fraud Detection

CQTS NYUAD Quantum Use-Case for Qinnovision World Challenge 2025

NYU Abu Dhabi

Hosted by

NYU Abu Dhabi

Rules

By default all competitions must comply to the rules defined in aqora's Terms of Use

Eligibility

• Open globally, except where prohibited by Aqora's Terms of Use.

Registration

• Acceptance of these terms is required for participation.
• You can choose to solve the challenge either individually or with your team (teams are limited to a maximum of 8 members).
• If you’re working in a team, please designate one contact person to submit your final solution and to communicate with the challenge organizers.

Submission Guidelines

• To submit your solution, ensure you have accepted the Terms & Conditions.
• Submissions must be original and not under consideration for publication elsewhere.
• The submission deadline is November 30, 2024.
• Submissions must include a report of a maximum of 10 pages, including all the tables, figures, and references, along with a link to a private GitHub repository of the code used.
• The submission link will be provided shortly.

Prizes

Winners will have the opportunity to showcase their work to a global audience and potentially collaborate with eBRAIN Lab and CQTS at New York University Abu Dhabi to develop their solutions further.

Privacy

• Information collected from participants will be handled according to Aqora's privacy policy, exclusively for competition-related purposes.