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FATE is an open-source federated learning platform that enables multiple organizations to collaboratively train machine learning models without exposing raw data to any party. It provides a complete framework for private data collaboration, allowing participants to jointly compute on sensitive information while maintaining data privacy and security guarantees through secure multi-party computation protocols. The platform distinguishes itself through its comprehensive infrastructure management capabilities, supporting automated deployment of multi-party clusters using Ansible-driven provisioni
FedML is a distributed machine learning training library, federated learning framework, and GPU workload orchestrator. It provides the core system components necessary to execute large-scale model training and fine-tuning across multi-cloud, on-premise, and decentralized GPU clusters, while offering a dedicated engine for scalable model serving and an MLOps pipeline manager for end-to-end lifecycle management. The platform distinguishes itself by enabling privacy-preserving federated learning across decentralized edge devices and organizational silos, keeping raw data on local hardware. It al
Flower is a federated learning framework and distributed machine learning orchestrator designed to train models across decentralized devices. It functions as a privacy-preserving toolkit that enables model training and data analysis on local hardware, ensuring raw data remains on the device while contributing to a synchronized global model. The system employs an agnostic wrapper and integrator to connect diverse machine learning libraries, allowing different frameworks to operate within the same training loop. It uses a remote procedure call orchestrator to manage the exchange of model weight
Google's differential privacy libraries.
The main features of google/differential-privacy are: Privacy and Safety.
Projects with overlapping indexed features include: confident-ai/deepteam. federatedai/fate — FATE is an open-source federated learning platform that enables multiple organizations to collaboratively train… fedml-ai/fedml — FedML is a distributed machine learning training library, federated learning framework, and GPU workload orchestrator.… guardrails-ai/guardrails — Guardrails is a Python SDK that wraps calls to large language models with configurable validation pipelines,… institutoazmina/penhas-app — Código fonte do App Mobile do PenhaS. adap/flower — Flower is a federated learning framework and distributed machine learning orchestrator designed to train models across…