shayvar

DRIVE-One-bit-Distributed-Mean-Estimation

This repository is the official implementation of the 'DRIVE: One-bit Distributed Mean Estimation' paper (NeurIPS 2021).

QUIC-FL-Quick-Unbiased-Compression-for-Federated-Learning

This repository is the official implementation of QUIC-FL from the paper 'Accelerating Federated Learning with Quick Distributed Mean Estimation' (ICML 2024)

drmt

stochastically-coordinated-dispatching

structured-random-rotation-based-compression

A Python package that contains our structured random rotation based compression techniques (termed srrcomp).

efficient-supervised-anomaly-detection

RADE is a resource-efficient decision tree ensemble method (DTEM) based anomaly detection approach that augments standard DTEM classifiers resulting in competitive anomaly detection capabilities and significant savings in resource usage.

efficient-multiclass-classification

Duet is a scikit-learn classifier for resource-efficient multiclass classification that incorporates the advantages of bagging and boosting decision-tree-based ensemble methods (DTEMs) by using two classifiers instead of a monolithic one. A simple bagging model is trained using the entire training dataset and is responsible for capturing the easier concepts. Then, a boosting model is trained using only a fraction of the dataset representing the concepts the bagging model finds hard.

shayvar/structured-random-rotation-based-compression

A Python package that contains our structured random rotation based compression techniques (termed srrcomp).