AI-friendly AI technique such as federated learning (FL) is a desideratum . FL enables learning over distributed email datasets to protect their privacy without the requirement of accessing them during the learning in a distributed computing framework . FL has a communication overhead of 0.179 GB per global epoch per its clients . FL is suitable for practical scenarios, where data size variation, including the ratio of phishing to legitimate email samples, among the clients, are present . FL shows a similar performance of testing accuracy of around 98% in phishing email detection to centralized learning . The transfer learning-enabled training results in the improvement of the testing accuracy by up to 2.6% and fast convergence, according to the authors of the study . Back to Mail Online home: Back to the page you came from.com/the-doordoor. Back to Back to The page you went from the page it came from the Page-to-the-page it went from.uk. Please contact us at: http://www.mailonline.co.uk/news/newsonline/news.com.uk for the first time.com . Back To the page-from-page-from the page.com: http://wwwwww.jailonline.com-tomtomtom.org/tomtom-tom-back-thepage-tom.com

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Keywords : page - learning - fl - uk - phishing -

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