FHEML, Concrete ML, and PySyft

Although the frameworks and libraries differ they all have 1 common similarity.

And that is implementing specific functionalities in preserving privacy computations within Machine Learning .

Our AI marketplace will have this logic at the core

Syft + Grid provides secure and private Deep Learning in Python.

Decouples private data from model training, using Federated Learning, Differential Privacy, and Encrypted Computation like Multi-Party Computation (MPC) and Homomorphic Encryption (HE)

github.com/OpenMined/PySy…

This week I completed OpenMined's Padawan Program! I learned so much about the amazing tech behind PySyft, and I'm so thankful for all the mentorship I've received over the last 8 weeks.

We are excited to announce our first online meetup in 2020:

'Privacy-Preserving ML and NLP with #PySyft and #SyferText '

with:
Andrew Trask Leader of OpenMined
Théo Ryffel Crypto Lead
Alan Aboudib NLP Lead

Please register here bit.ly/3exaSAA

The chances of a person requiring a Hindi documentation of pySyft is minuscule, if not zero.
But then Indians have flocked on to the repository to get themselves listed as contributors on pySyft.
This is not your competitive exam which you can hack through.

We’re very excited to announce a new partnership with Twitter to advance algorithmic transparency using PySyft!

blog.openmined.org/announcing-our…

PySyft: A Library for Encrypted. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #Java Script #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
bit.ly/2EGEfRh

Don't miss Daniele Gadler, Data Scientist at SIAG

At #SFScon20 , he will present 'PySyft – an Open-Source Framework for Privacy-Preserving Distributed Machine Learning'

📌 sfscon.it/talks/pysyft-a…
🎫 Join & register for free: sfscon.it

PySyft: A Library for Encrypted, Privacy Preserving #Cryptography . #BigData #Analytics #DataScience #AI #MachineLearning #CyberSecurity #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
bit.ly/2EGEfRh

We're helping researchers access Reddit data!!!

I'm pleased to announce OpenMined is partnering with Reddit to facilitate access to the reddit dataset using #PySyft

Twitter x.com/carlcarrie/sta… PySyft data science on data on another server.GitHub github.com/OpenMined/PySy…
Newsletter morrislee1234.wixsite.com/website/contact
More morrislee1234.wixsite.com/website
LinkedIn linkedin.com/in/morris-lee-…
#AI NewsClips #AI #ML #ArtificialIntelligence #MachineLearning #DataScience

5 open-source frameworks to ensure privacy in your ML:
1. OpenMined PySyft
2. TensorFlow Privacy
3. IBM adversarial robustness toolbox
4. @MetaAI CrypTen
5. Microsoft Research SEAL

We are incredibly excited to announce a collaboration between #PySyft and #TensorFlowFederated (TFF)!!!

This allows you to use TensorFlow Federated to train AI models across networks of PySyft domain nodes (each holding data which stays local!)

TUTORIAL: blog.openmined.org/announcing-pro…

📹 Throwback - Watch #SFScon20 !

💬'PySyft – an Open-Source Framework for Privacy-Preserving Distributed Machine Learning', Daniele Gadler, Data Scientist at SIAG

📌 sfscon.it/talks/pysyft-a…

🗣 Will you speak at #SFScon21 ?
📎 sfscon.it/call-4-speaker…

“PySyft is a Framework for Private Deep Learning” by Jesus Rodriguez
link.medium.com/UkPRc2TuXrb

As part of my series of blog posts around #homomorphic #encryption and #DeepLearning , I recently published a post showing what we have been working on at OpenMined

Shoutout to my teammate philomath213

blog.openmined.org/ckks-homomorph…

#Crypto #privacy #ppml

PySyft: Can’t Boil This Frog - Thwarting Adversarial Poisoning Attacks. #BigData #Analytics #DataScience #AI #MachineLearning #CyberSecurity #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
bit.ly/2v7WQny

A3: Other privacy-preserving technologies deserve attention. Thanks to PySyft, an open-source stack that decouples private data from model training using techniques like Federated Learning, Differential Privacy, and Encrypted Computation. #RadAIchat
github.com/OpenMined/PySy…

more education toward privacy-preserving ML with tools like OpenMined PySyft to start

next infrastructure for decentralizing compute for collaborative model training until LLM weights are open sourced

Federated Learning(FL)は、プライバシーの観点からデータを外に持ち出せないときに、複数のデータの所有者が協力して機械学習モデルを訓練する方法である。この記事ではPySyftを利用したFLの簡単な実装を解説する。
panhouse.blog/paper/implemen…