Apr 24, 2024 · In this paper, we introduce SECO, a secure inference protocol that enables a user holding an input data vector and multiple server nodes deployed with a split ...

Apr 24, 2024 · In this paper, we introduce SECO, a secure inference protocol that enables a user holding an input data vector and multiple server nodes ...

SECO is introduced, a secure inference protocol that enables a user holding an input data vector and multiple server nodes deployed with a split neural ...

Apr 25, 2024 · The paper proposes a secure inference system called SECO that splits a machine learning model across a multi-server hierarchy.

The paper introduces SECO, a secure inference protocol that enables a user holding an input data vector and multiple server nodes deployed with a split neural ...

Quadratic functional encryption for secure training in vertical federated learning · SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy.

Secure Inference With Model Splitting Across Multi-Server Hierarchy. 5. 2.1 ... SECO:SECURE INFERENCE WITH MODEL SPLITTING ACROSS MULTI-SERVER HIERARCHY6.

Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption ... SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy.

本文介绍了SECO，这是一种安全推理协议，它使持有输入数据向量和部署有分裂神经网络模型的多个服务器节点的用户能够协作计算预测，而不会危及任何一方的数据隐私。我们将 ...

Jul 25, 2024 · Abstract—This paper focuses on designing a privacy-preserving. Machine Learning (ML) inference protocol for a hierarchical.