gradient-quantization

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.

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

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

[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li

An easy-to-use federated learning platform

Federated Learning for Multi-Institutional Medical Image Segmentation.

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。