Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Research Opportunities
Apply now View Formal Call
Research Opportunities

Computer Science

[Closed]

Work description

- Algorithms for Federated Anomaly Detection over Data Streams: (i) stream-based algorithms definition and implementation in the federated framework; (ii) distributed learning with computational and energy constraints; (iii) compliance with privacy regulations and best practices. - ?Implementation of evaluation techniques for data streams and federated learning: (i) statistical metrics; (ii) system metrics. - Writing articles for journals or conferences.

Academic Qualifications

Master in Informatics or similar area

Minimum profile required

- Strong knowledge in federated learning.- Knowledge in data streams, online learning e anomaly detection.- Experience with Python, River, and Flower framework.

Preference factors

Proven experience in federated learning, demonstrated by publications in conferences and journals.

Application Period

Since 07 Nov 2024 to 20 Nov 2024

[Closed]

Centre

Artificial Intelligence and Decision Support

Scientific Advisor

João Gama