ملف الباحث

Kaixin Li

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost

    2021 · arXiv (Cornell University)

    More and more orgainizations and institutions make efforts on using external data to improve the performance of AI services. To address the data privacy and security concerns, federated learning has attracted increasing attention from both …