Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning

A curated list of references for MLOps

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

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 on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

Fast and Easy Infinite Neural Networks in Python

A Python package to assess and improve fairness of machine learning models.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Master Federated Learning in 2 Hours—Run It on Your PC!

An easy-to-use federated learning platform

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。