Timo's Projects
Repository for AI4All IoT project
Analytic calibration for differential privacy with Gaussian perturbations
autodp: A flexible and easy-to-use package for differential privacy
This is the workshop for helpding readers to fully understande my project. You can read while testing the theories using the codes here. Hope that will be helpful! Enjoy~
CS4220ML of TU Delft
For WB10L310Q- Digital Signal Processing
Course EE4C06 of TU Delft
A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)
Real-time systems design
For TU Delft IN4390
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Simulate a federated setting and run differentially private federated learning.
KNN and Spam Classification
IN4253ETHackLab
service for one-page report
Prtools for Python
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
As the name sugguest
A unified framework for privacy-preserving data analysis and machine learning
A SMPC companion library for Syft
Validating a Crew-Carrying Spacecraft
Text and supporting code for Think Stats, 2nd Edition