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。
-
Updated
Dec 2, 2024 - C++
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。
A Privacy-Preserving Framework Based on TensorFlow
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
A tree-based federated learning system (MLSys 2023)
This project proposes a decentralized federated learning framework based on blockchain, that is, a Block-chain-based Federated Learning framework with Committee consensus (BFLC). Without a centralized server, the framework uses blockchain for the global model storage and the local model update exchange.
Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
Federated gradient boosted decision tree learning
Flexe - The open source federated learning for vehicular network simulation framework.
[ECCV 2022] Official pytorch implementation of the paper "FedVLN: Privacy-preserving Federated Vision-and-Language Navigation"
Framework that supports pipeline federated split learning with multiple hops.
An artificial intelligence knowledge mining platform. #CareAlwaysInAllways
Add a description, image, and links to the federated-learning topic page so that developers can more easily learn about it.
To associate your repository with the federated-learning topic, visit your repo's landing page and select "manage topics."