首页|GNA University Researchers Add New Data to Research in Machine Learning (Federated Learning for Predictive Healthcare Analytics: From theory to real world applications)
GNA University Researchers Add New Data to Research in Machine Learning (Federated Learning for Predictive Healthcare Analytics: From theory to real world applications)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to news re-porting originating from GNA University by NewsRx correspondents, research stated, “In the contemporarylandscape, machine learning has a pervasive impact across virtually all industries.”The news editors obtained a quote from the research from GNA University: “However, the success ofthese systems hinges on the accessibility of training data. In today’s world, every device generates data,which can serve as the building blocks for future technologies. Conventional machine learning methods relyon centralized data for training, but the availability of sufficient and valid data is often hindered by privacyconcerns. Data privacy is the main concern while developing a healthcare system. One of the techniquewhich allow decentralized learning is Federated Learning. Researchers have been actively applying thisapproach in various domains and have received a positive response.”
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