privacy preservation

DataFunSummit

Oct 4, 2022 · Artificial Intelligence

Graph Federated Learning: Necessity, Classification, Algorithms, Platform Architecture, and Financial Applications

This article provides a comprehensive overview of graph federated learning, covering its motivation, taxonomy, representative algorithms, platform design, practical financial use cases, and future research challenges, with a focus on privacy-preserving distributed graph neural network training.

AIFederated LearningFinancial Applications

0 likes · 15 min read

Graph Federated Learning: Necessity, Classification, Algorithms, Platform Architecture, and Financial Applications

Tencent Cloud Developer

Sep 25, 2020 · Artificial Intelligence

Privacy-Preserving Federated Learning for Financial Risk Control Using Homomorphic Encryption

Tencent Shield‑Federated Computing enables banks to jointly train Gradient Boosted Decision Trees and Logistic Regression with external data owners by using homomorphic encryption to perform encrypted variable and split‑point searches, gradient aggregation, and model updates, delivering near‑centralized accuracy, up to 70 % speed gains, and full data confidentiality for financial risk control.

Federated LearningGradient Boosted Treesfinancial risk control

0 likes · 15 min read

Privacy-Preserving Federated Learning for Financial Risk Control Using Homomorphic Encryption