{"id":12558,"date":"2023-07-12T13:59:15","date_gmt":"2023-07-12T11:59:15","guid":{"rendered":"https:\/\/new.sano.science\/?post_type=research&#038;p=12558"},"modified":"2023-07-12T13:59:15","modified_gmt":"2023-07-12T11:59:15","slug":"experiments-with-large-scale-classification-of-medical-images-using-federated-learning","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/experiments-with-large-scale-classification-of-medical-images-using-federated-learning\/","title":{"rendered":"Experiments with large-scale classification of medical images using federated learning"},"content":{"rendered":"<ul class=\"eplus-wrapper wp-block-list eplus-styles-uid-60b9ca\">\n<li class=\" eplus-wrapper\">MSc Project\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Although federated learning is a promising technique for analysis of medical images, as it may solve some security and privacy issues related to distributed data access, there is still a need to evaluate this technique in large-scale experiments in a distributed environment such as cloud infrastructure.\u00a0<\/li>\n<\/ul>\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The goal of the thesis will be to run large-scale experiments with federated learning on medical image classification tasks. 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