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38 search results found

Pysyft ⭐ 9,188

Perform data science on data that remains in someone else's server

Awesome Federated Learning ⭐ 1,481

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Pfllib ⭐ 1,147

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

Awesome Fl ⭐ 1,103

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Awesome Federated Learning ⭐ 492

resources about federated learning and privacy in machine learning

Awesome Federated Learning ⭐ 482

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

Rosetta ⭐ 451

A Privacy-Preserving Framework Based on TensorFlow

Security and Privacy Risk Simulator for Machine Learning

Differential Privacy Based Federated Learning ⭐ 212

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Syfertext ⭐ 176

A privacy preserving NLP framework

Awesome Differential Privacy And Meachine Learning ⭐ 163

机器学习和差分隐私的论文笔记和代码仓

Photolabeller ⭐ 101

Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer

Ambianic Edge ⭐ 98

The core runtime engine for Ambianic Edge devices.

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

Pyvertical ⭐ 52

Privacy Preserving Vertical Federated Learning

Asynchronous Federated Learning ⭐ 49

Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)

Decentralized Ml ⭐ 42

Full stack service enabling decentralized machine learning on private data

Privacyfl ⭐ 39

A Simulator for Privacy Preserving Federated Learning

Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"

Federated Ml ⭐ 26

Detect anomalies in network traffic data using Federated Machine Learning technique.

Collaborativefairfederatedlearning ⭐ 25

Official implementation of our work "Collaborative Fairness in Federated Learning."

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning [ICLR‘23, Best Paper Award at ECCV’22 AROW Workshop]

Private Ml For Health ⭐ 18

Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)

Recsys2021 Pursuing Privacy ⭐ 18

Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems in Amsterdam, Netherlands

Openprivacytech.org ⭐ 15

Welcome to our official website

Privacy Preserving Bandits ⭐ 14

Privacy-Preserving Bandits (MLSys'20)

Federated Learning Poc ⭐ 13

Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.

Apprenticeship ⭐ 13

A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.

Pets Bootcamp ⭐ 11

A collection of demos and utilities prepared ahead of the Vector Institute Privacy Enhancing Techniques (PETs) Bootcamp.

Encrypted_ai_finance ⭐ 8

Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning

Defending Federated Learning System ⭐ 7

Implementation of a client reputation, gradient checking and homomorphic encryption mechanism to defend a federated learning system from data/model poisoning and reverse engineering attacks.

Federated_kmeans ⭐ 7

Federated k-means clustering algorithm implementation and proof of concept.

Privacyattack_at_fl ⭐ 7

A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.

PyTorch implementation of Joint Privacy Enhancement and Quantization in Federated Learning (IEEE TSP 2023, IEEE ISIT 2022)

Secureaggregation ⭐ 6

An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.

A generic Federated Learning simulator!

Secure Federated Learning ⭐ 5

Secure Federated Learning Framework with Encryption Aggregation and Integer Encoding Method.

Federated Learning ⭐ 5

An implementation of Federated Learning using Pytorch and PySyft

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