An Industrial Grade Federated Learning Framework
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Updated
Jul 29, 2024 - Python
An Industrial Grade Federated Learning Framework
A unified framework for privacy-preserving data analysis and machine learning
[IJCAI'24 AISafety] Low-Latency Privacy-Preserving Deep Learning Design via Secure MPC
Official repository of "Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data"
Sprite AI - An AI companion for your desktop
FedAnil+ is a novel lightweight, and secure Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil+ written in Python.
FedAnil is a secure blockchain-enabled Federated Deep Learning Model to address non-IID data and privacy concerns. This repo hosts a simulation for FedAnil written in Python.
Python implementation of anonymous linkage using cryptographic linkage keys
code for the paper: PRIVACY-PRESERVING DEEP LEARNING: LEVERAGING DEFORMABLE OPERATORS FOR SECURE TASK LEARNING
pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
personal implementation of secure aggregation protocol
A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.
Official implementation for paper "FedBoosting: Federated Learning with Gradient Protected Boosting for Text Recognition"
📊 Privacy Preserving Medical Data Analytics using Secure Multi Party Computation. An End-To-End Use Case. A. Giannopoulos, D. Mouris M.Sc. thesis at the University of Athens, Greece.
Anonymizing Library for Apache Spark
(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare
a prototype blockchain for storing health data privately in a distributed manner
Get usage metrics and crash reports for your API, library, or command line tool.
Official PyTorch implementation of Patch SplitNN (WACV2023)
Secured Cheng and Church Algorithm performs encrypted computations such as sum, or matrix multiplication in Python for biclustering algorithm
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