differential-privacy-bayesian-optimization

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Automated Machine Learning with scikit-learn

A modular active learning framework for Python

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Training PyTorch models with differential privacy

Master Federated Learning in 2 Hours—Run It on Your PC!

Self-Learning, Active and Passive Learning with SVMs and KMeans

[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization