Perform data science on data that remains in someone else's server
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Updated
Jul 15, 2025 - Python
Perform data science on data that remains in someone else's server
A curated list of references for MLOps
An Industrial Grade Federated Learning Framework
Flower: A Friendly Federated AI Framework
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.
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
A unified framework for privacy-preserving data analysis and machine learning
A PyTorch Implementation of Federated Learning
Master Federated Learning in 2 Hours—Run It on Your PC!
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Complete-Life-Cycle-of-a-Data-Science-Project
An easy-to-use federated learning platform
An Open Framework for Federated Learning.
算法刷题指南、Java多线程与高并发、Java集合源码、Spring boot、Spring Cloud等笔记,源码级学习笔记后续也会更新。
NVIDIA Federated Learning Application Runtime Environment
Manage federated learning workload using cloud native technologies.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
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