federated-learning

A curated list of references for MLOps

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

Flower: A Friendly Federated AI Framework

An Industrial Grade Federated Learning Framework

A unified ecosystem and workspace for large-scale federated learning, bridging the gap between centralized model evolution and decentralized edge intelligence.

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.

The central nervous system and backend orchestrator for Fractal. It handles multi-tenant task scheduling, real-time TFLOPs budgeting, and federated weight aggregation using FedAvg.

A human-centric, resource-aware Android node for edge computing and federated learning. Orchestrates distributed intelligence with privacy-first localization and empathetic hardware management.

A unified framework for privacy-preserving data analysis and machine learning

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

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

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

An easy-to-use federated learning platform

A PyTorch Implementation of Federated Learning

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

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

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。

NVIDIA Federated Learning Application Runtime Environment

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。