Template for NSF Proposals

GPT4 based personalized ArXiv paper assistant bot

FFCV: Fast Forward Computer Vision (and other ML workloads!)

A tree-based federated learning system (MLSys 2023)

[ICLR 2023] Official JAX/Haiku implementation of the paper "Differentially Private Adaptive Optimization with Delayed Preconditioners"

Diverse Client Selection for Federated Learning via Submodular Maximization

Private Adaptive Optimization with Side Information (ICML '22)

Federated Optimization in Heterogeneous Networks (MLSys '20)

A little Python script to collect LaTeX sources for upload to the arXiv.

Code for fast dpsgd implementations in JAX/TF

FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

Repository to go along with the paper "Progressive Compressed Records: Taking a Byte out of Deep Learning Data"

FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)

Fair Resource Allocation in Federated Learning (ICLR '20)

Tilted Empirical Risk Minimization (ICLR '21)

Code for visualizing the loss landscape of neural nets

Multi-Task Deep Neural Networks for Natural Language Understanding

Training PyTorch models with differential privacy

[ICML 2020] Continuously Indexed Domain Adaptation

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Federated Multi-Task Learning

Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

Implementation and supporting materials for the paper Multi-Criteria Dimensionality Reduction with Applications to Fairness, NeurIPS2019 and extend the prior work "The Price of Fair PCA: One Extra …

Code for paper "Learning to Reweight Examples for Robust Deep Learning"