Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Koga, Tatsuki"'
Statistics about traffic flow and people's movement gathered from multiple geographical locations in a distributed manner are the driving force powering many applications, such as traffic prediction, demand prediction, and restaurant occupancy report
Externí odkaz:
http://arxiv.org/abs/2402.11526
Patient privacy is a major barrier to healthcare AI. For confidentiality reasons, most patient data remains in silo in separate hospitals, preventing the design of data-driven healthcare AI systems that need large volumes of patient data to make effe
Externí odkaz:
http://arxiv.org/abs/2310.06237
Federated learning (FL) combined with differential privacy (DP) offers machine learning (ML) training with distributed devices and with a formal privacy guarantee. With a large population of devices, FL with DP produces a performant model in a timely
Externí odkaz:
http://arxiv.org/abs/2307.07477
Aggregate time-series data like traffic flow and site occupancy repeatedly sample statistics from a population across time. Such data can be profoundly useful for understanding trends within a given population, but also pose a significant privacy ris
Externí odkaz:
http://arxiv.org/abs/2201.04762
Deep learning has significant potential for medical imaging. However, since the incident rate of each disease varies widely, the frequency of classes in a medical image dataset is imbalanced, leading to poor accuracy for such infrequent classes. One
Externí odkaz:
http://arxiv.org/abs/1812.01690