indj
DistributedDistributionallyRobustOptimizationwith Non-ConvexObjectives
Centralized machine learning requires gathering the data to a particular server to train models which incurs high communication overhead [46] and suffersprivacyrisks[43]. Asaremedy,distributedmachine learning methods havebeenproposed. Considering a distributed system composed ofN workers (devices), we denote the dataset of these workers as{D1,,DN}.
'inDJ' situation•emotion AI recommendation service has been honored the CES 2023 Innovation Awards - Dec 27, 2022
CES is the world's largest IT exhibition hosted by the U.S. Consumer Technology Association (CTA). This is the first time that app situation•emotion recognition AI service has been honored at CES. The American Consumer Technology Association, host of CES, selects the innovation award by evaluating entries in advance before the exhibition. It is an award given to one product or service that has received the highest evaluation in the field, focusing on technology, design, and innovation. It is a method of recommending music, content, and healthcare information by analyzing user emotions and situations.