Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples via Least-Squares Solution

1 code implementation • IEEE Transactions on Emerging Topics in Computing 2022 • Jianping Cai, Ximeng Liu, Zhiyong Yu, Kun Guo, Jiayin Li

The experiments show that our proposed algorithm takes only about 400 seconds to handle up to 9. 6 million large-scale samples, while the state-of-the-art algorithms take close to 1000 seconds to handle every 1000 samples, which embodies the advantage of our algorithms in handling large-scale samples. δ -data indistinguishability theory, we provide quantitative theoretical guarantees for the security of our algorithms.

Data Integration Vertical Federated Learning