Topic outline

  • General

    • Teacher in Charge: Alexander ("Alex") Jung, TA in Charge: Alexander Pavlyuk
    • Discussion Forum (optional). Discuss anything about the course  click me.
    • This course can be completed fully remote. Events will be recorded and made available here.
    • What's New? Response letter to student feedback from 2023 can be found here.
    • The basic variant (5 credits) of this course consists of lectures (schedule here) and corresponding coding assignments (schedule here).
    • Quizzes. Test understanding of lectures and coding assignments.
    • Grading. Grade 1: 50-59 points. 2: 60-69. 3: 70-79. 4: 80-89. 5: 90-. 
    • Project (optional). You can upgrade the course to an extended variant (10 credits) by completing a student project (more info here).
    Course program at a glance.
            Date        
    		Lecture (16:15)
    		 Location    Notes    
    		  Notebook  
    		Quiz
    Wed. 28.2.
    		 Welcome AS1 (TUAS)
    		 Sec. 1
    Mon. 4.3. ML Basics AS1 Sec. 2
    		 here
    		 4.3.-10.3.
    Wed. 6.3. FL Design Principle AS1 Sec. 3
    		 here 6.3.-10.3.
    Mo. 11.3.
    		 Gradient Methods
    		  zoom
    		Sec. 4
    		 here
    		 11.3.-17.3.
    Wed. 13.3.
    		 FL Algorithms
    		 zoom Sec. 5
    		 here 13.3.-17.3.
    Mo. 18.3.
    		 Flower Labs
    		 zoom info
    Wed. 20.3.
    		 FL Main Flavors zoom Sec. 6
    		 here 20.3-24.3.
    Mo. 25.3.
    		 Graph Learning
    		 TU1 (TUAS) Sec. 7
    		 here 25.3.-7.4.
    Wed. 27.3.
    		 Trustworthy AI
    		 AS1 Sec. 8
    		 here 27.3.-7.4.
    Mo. 8.4.
    		 FL at Nokia

    Wed. 10.4.
    		 Prof. Vassio (Torino)
    		 AS1

    Mo. 15.4.
    		 Guest Talk Scaleout
    		 cancelled

    Mo. 22.4.
    		 Privacy Protection
    		 U271 (Otakaari 1) Sec. 9
    		 TBA 22.4.-28.4
    Wed. 24.4.
    		 Poisoning in FL
    		 Y122 (Otakaari 1) Sec. 10
    		 TBA 24.4.-28.4.