Evaluation runtime for Phase 2 of the PETs Prize Challenge

A collection of Google research projects related to Federated Learning and Federated Analytics.

P2P Distributed deep learning framework that runs on PyTorch.

Example baseline implementations for WH PETS challenge

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…

Differentially Private Federated Learning

Library for training machine learning models with privacy for training data

Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Collection of Summer 2026 tech internships!

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Python Solutions for Cracking the Coding Interview, 6th Edition 189 Programming Questions and Solutions

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Training PyTorch models with differential privacy

autodp: A flexible and easy-to-use package for differential privacy

A PyTorch Implementation of Federated Learning

Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356

Stochastic Gradient Push for Distributed Deep Learning

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470

Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599

Distributed training framework for TensorFlow, Keras, and PyTorch.

2D-EM Image Segmentation using Unet, Segnet, SVM and RandomForest

Bonus materials, exercises, and example projects for our Python tutorials