핵심 개념
PAPER-HILT develops an adaptive RL strategy for privacy preservation in HITL environments, balancing privacy and utility effectively.
초록
The content discusses the development of PAPER-HILT, an innovative RL strategy focusing on privacy preservation in HITL environments. It addresses the challenge of balancing privacy and utility in human-in-the-loop systems, emphasizing the importance of adapting to individual behavioral patterns and preferences. The paper evaluates PAPER-HILT's effectiveness in Smart Home environments and VR Smart Classrooms, showcasing its capability to provide a personalized equilibrium between user privacy and application utility.
통계
RL offers computational scalability advantages compared to game-theoretic approaches.
PAPER-HILT's application in Smart Home environments and VR Smart Classrooms.
Utility (performance) drops by 24%, and privacy (state prediction) improves by 31% on average.
인용구
"Addressing the challenge of balancing privacy and utility in HITL environments."
"PAPER-HILT's capability to provide a personalized equilibrium between user privacy and application utility."