HAFLO: GPU-Based Acceleration for Federated Logistic Regression

Understand

In recent years, federated learning (FL) has been widely applied for supporting decentralized collaborative learning scenarios.

• Among existing FL models, federated logistic regression (FLR) is a widely used statistic model and has been used in various industries.
• To ensure data security and user privacy, FLR leverages homomorphic encryption (HE) to protect the exchanged data among different collaborative parties.
• However, HE introduces significant computational overhead (i.e., the cost of data encryption/decryption and calculation over encrypted data), which eventually becomes the performance bottleneck of the whole system.