Topic: pysyft Goto Github
Some thing interesting about pysyft
Some thing interesting about pysyft
pysyft,Secure & Private AI Challenge Codes
User: abdelino17
pysyft,Demonstration of application of Distributed Computing in Federated Learning for our Semester-8 Course on Distributed and Cloud Computing
User: arghyadeep99
pysyft,An implementation of Federated Learning using Pytorch and PySyft
User: ashwindasr
pysyft,Multi-Party Computation transforms data handling by decentralizing trust among multiple participants. This ensures that no single entity demands absolute trust. An advantage for companies in safeguarding data privacy: once data leaves the user's computer, it remains obscured from any single external entity.
User: bavba
pysyft,Udacity Deep Learning, PyTorch, PySyft
User: berenice2018
pysyft,A collection of research and survey papers of differential privacy and federated learning
Organization: decentralizedautomata
pysyft,:fire: Federated Learning Simplified with Frameworks
User: deephivemind
pysyft,The implementation of the "Robust Federated Learning by Mixture of Experts" study.
User: etesami
pysyft,Project entry for the Secure and Private AI Challenge, hosted by Udacity and sponsored by Facebook (May - August, 2019)
User: fustincho
pysyft,All Things Deep Learning Projects
User: joycechidi
pysyft,Secure and Private AI Scholarship Challenge Udacity
User: kshntn
pysyft,This repository will help you to understand how Federated learning can be implemented on Pima Indians Diabetic Dataset. It involves the use of OpenMined tool called Pysyft and Pytorch for implementation.
User: madhura12gj
pysyft,Simple example of federated learning using torch ignite and pysyft
User: mainakdeb
pysyft,The premise of this challenge is to build a habit of practicing new skills by making a public commitment of practicing the topics of Secure and Private AI program every day for 60 days.
User: masoodkhanpatel
pysyft,Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning
User: mkucz95
pysyft,Federated learning testbed for real-world mobile devices
User: mutahar789
pysyft,SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft
Organization: openmined
pysyft,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
Organization: sisinflab
pysyft,Repo including all the daily updates of #60daysofudacity Udacity Challenge
User: souravs17031999
pysyft,The project showcasing federated learning of model and testing on encrypted data and model
User: souravs17031999
pysyft,Repo for project : smog detection project at Udacity Project Showcase
User: souravs17031999
pysyft,Implementations notebooks and scripts of secured and private ai scholarship challenge from facebook.
User: sourcecode369
pysyft,
User: suhanip
pysyft,Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.
User: tayebiarasteh
pysyft,Securing Collaborative Medical AI by Using Differential Privacy
User: tayebiarasteh
pysyft,Detect anomalies in network traffic data using Federated Machine Learning technique.
User: tuhinsharma121
pysyft,Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers
User: vermasrijan
pysyft,A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federated learning functionality instead of using traditional PyTorch features.
User: vivekkhimani
pysyft,The workspace for the Secure and Private AI course on Udacity. https://www.udacity.com/course/secure-and-private-ai--ud185
User: youben11
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