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20202026
most citedSARSA(0) Reinforcement Learning over Fully Homomorphic Encryption

4 citations · 7 across the 9 of their papers we have counts for

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6 papers · 1 filter

eess.SY2026

Encrypted collision avoidance maneuver via variational optimization

Yeongjun Jang, Jihoon Suh, Kenshiro Oguri +1

We propose an encrypted collision avoidance maneuver (CAM) design protocol using homomorphic encryption (HE) that enables operators to outsource CAM design to an untrusted server w…

eess.SY2026

Experimental Examination of Secure Two-Party Controller Computation

Kaoru Teranishi, Jihoon Suh, Takashi Tanaka

A secure two-party computation protocol for running dynamic controllers over secret sharing has recently been proposed. Unlike encrypted control schemes based on homomorphic encryp…

eess.SY2026

Variational Encrypted Model Predictive Control

Jihoon Suh, Yeongjun Jang, Junsoo Kim +1

We develop a variational encrypted model predictive control (VEMPC) protocol whose online execution relies only on encrypted polynomial operations. The proposed approach reformulat…

eess.SY2025

Privacy-Preserving Fully Distributed Gaussian Process Regression

Yeongjun Jang, Kaoru Teranishi, Jihoon Suh +1

Although distributed Gaussian process regression (GPR) enables multiple agents to jointly learn a model of the target function, its collaborative nature poses a risk of private dat…

eess.SY2023

Encrypted Price-based Market Mechanism for Optimal Load Frequency Control

Jihoon Suh, Takashi Tanaka

The global trend of energy deregulation has led to the market mechanism replacing some functionality of load frequency control (LFC). Accordingly, information exchange among partic…

eess.SY2020★ 4 cited

SARSA(0) Reinforcement Learning over Fully Homomorphic Encryption

Jihoon Suh, Takashi Tanaka

We consider a cloud-based control architecture in which the local plants outsource the control synthesis task to the cloud. In particular, we consider a cloud-based reinforcement l…