- Introduction to privacy, security and cryptography
- authentication, access control, security models
- Model adversarial attacks
- Introduction to federated learning
CM2028 Federated Computing Privacy and Security for Health Data 4.0 credits
Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus CM2028 (Autumn 2025–)Headings with content from the Course syllabus CM2028 (Autumn 2025–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
After completing the course, students should be able to:
- explain and articulate the privacy and security risks associated with health data and health data applications
- discuss the ethical, legal and technical risks associated with data breaches and leaks
- design technical strategies to prevent and mitigate potential data leaks
- implement machine learning algorithms in a federated setup
Literature and preparations
Specific prerequisites
Knowledge and skills in programming, 6 credits,
Knowledge of the basics of computer science, 6 credits,
English 6
Equipment
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Literature
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Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- PRO1 - Project, 2.0 credits, grading scale: A, B, C, D, E, FX, F
- UPP1 - Written Assignments, 1.0 credits, grading scale: A, B, C, D, E, FX, F
- UPP2 - Written Assignments, 1.0 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
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Opportunity to raise an approved grade via renewed examination
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Examiner
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Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
Technology and Health
Education cycle
Second cycle
Add-on studies
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