Feature: Research Foundations of Federated Learning and Privacy Techniques

[SammyOina]

Is your feature request related to a problem? Please describe.

Current lack of comprehensive understanding of Federated Machine Learning (FML), differential privacy (DP), and secure aggregation techniques within the team.

Describe the feature you are requesting, as well as the possible use case(s) for it.

Conduct in-depth research on fundamental privacy-preserving machine learning concepts:

• Study theoretical foundations of federated learning
• Analyze differential privacy concepts (epsilon, delta)
• Explore cryptographic primitives for secure aggregation
• Prepare comprehensive team presentation
• Create a knowledge repository of key learnings and potential applications

Indicate the importance of this feature to you.

Must-have

Anything else?

• Develop a glossary of key technical terms
• Identify potential research papers and authoritative sources

[dborovcanin]

We need to have a knowledge transfer/presentation session and document the work done and we will close this issue.

[smithjilks]

Yes. Working on it.

[smithjilks]

WIP: https://docs.google.com/document/d/1twtjr3OYi0DHRDcz5Xo6UH69lG85dsXT714zegw2Yvw/