首页|Reports on Robotics from Hohai University Provide New Insights (Efficient Lower Layers Parameter Decoupling Personalized Federated Learning Method of Facial Exp ression Recognition for Home Care Robots)
Reports on Robotics from Hohai University Provide New Insights (Efficient Lower Layers Parameter Decoupling Personalized Federated Learning Method of Facial Exp ression Recognition for Home Care Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics is now availab le. According to news reporting originating from Changzhou, People's Republic of China, by NewsRx correspondents, research stated, "Facial expression recognitio n (FER) is a crucial and pivotal functionality for home care robots that engage in intimate interactions with human individuals. However, the potential privacy risk associated with home care robots resides in their acquisition of facial inf ormation during expression recognition and subsequent data uploading for model u pdates." Funders for this research include National Natural Science Foundation of China ( NSFC), National key R&D program of China, Jiangsu Province Advanced Leading Technology and Basic Research Project, China.
ChangzhouPeople's Republic of ChinaA siaEmerging TechnologiesMachine LearningNano-robotRoboticsHohai Univer sity
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