Flower: A Friendly Federated AI Framework

A curated collection of 142 production-ready skills for Claude Code CLI, covering Cloudflare, React, Tailwind v4, and AI integrations, with marketplace and cross-harness installation support.

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.

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

An Industrial Grade Federated Learning Framework

A Flexible, Fast, Federated(3F) SQL Analysis Middleware for Multiple Data Sources

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".

Breaching privacy in federated learning scenarios for vision and text

Manage federated learning workload using cloud native technologies.

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

An easy-to-use federated learning platform

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.