a The International Summer School in Federated Learning




Summer School Program


Morning Session:
  • Welcome sessions for MegaData: Federated Learning.
  • Introduction to Machine Learning (ML pipelines).
Afternoon Session:
  • Cont. of ML Lifecycle
  • ML Lifecycle and centralized deep learning.

Morning Session:
  • Data Privacy and Data Protection Regulation (e.g., GDPR)
  • Introduction to Federated Machine learning (Why FL).
Afternoon Session:
  • Simulating a vanilla FL using FedAVG
  • Implement and apply FedProx algorithm

Morning Session: Guest Talk by Salman Toor (Scaleout, Sweden)
  • Introduction to FL with FEDn framework
Afternoon Session:
  • FEDn practice session
  • Frameworks installation, configuration, and setup of FEDn.
  • Scaleout Studio

Morning Session: Guest Talk by Daniel Beutel (FLOWER, UK)
  • Introduction to FL with FLOWER framework
Afternoon Session: Guest Talk by Pan Heng (FLOWER, UK)
  • FLOWER practice session
  • Frameworks installation, configuration, and setup of FLOWER.

Morning Session:
  • Guest Talk by Javier Fernandez-Marques, FLLM with FLOWER.
  • Guest Talk by Afsana Khan (Netherlands): Vertical Federated Learning.
Afternoon Session:
  • Project announcement and open discussion.
  • Team formation.

Morning Session:
  • Guest session: Samaneh Mohammadi (RISE Research Institutes, Sweden), Balancing privacy and performance in FL
  • Student presentation 1.
Afternoon Session:
  • Guest session: Samaneh Mohammadi (RISE Research Institutes, Sweden),Encryption in Federated Learning
  • Guest session: Hiroki Kaminaga (Cybernetica, Estonia), Multi-party computations for FL security

Morning Session:
  • Guest session:Jiang, Xiaowen (Germany), Federated Learning Optimization
  • Guest session: Mehreen Tahir (Ireland),Federated Learning Client Selection
Afternoon Session:
  • Guest session: Shaleeza Sohail (Australia),Hirarical Federated Learning
  • Student presentation 2

Morning Session:
  • Student presentation 3.
  • Student presentation 4.
Afternoon Session:
  • Team working on projects.
  • Feedback from monitors.

All day:
  • Team working on projects coding, experimentation and writing report.
  • Preparing posters and demos.

All day:
  • Participant's projects and final presentations.
  • Summer school closing and photo session.