Benefits of Federated Learning: manufacturing industry specialists give their thoughts (automotive…Confidentiality and proprietary nature of data is often a barrier as companies are simply not ready to give up their sovereignty. In this…Jan 24, 2022Jan 24, 2022
Benefits of Federated Learning: healthcare practitioners give their thoughts (radiology domain)How can the immense power of artificial intelligence be used for the healthcare industry while addressing privacy concerns at the same…Jan 6, 2022Jan 6, 2022
Federated Learning to support Diagnostic Imaging for next generation AI-powered healthcareOur ChallengeOct 26, 2021Oct 26, 2021
Published inThe StartupBenefits and challenges of federated learning under the GDPRFederated learning, i.e. a “distributed machine learning approach which enables training on a large corpus of decentralized data residing…Sep 28, 2021Sep 28, 2021
Published inArtificial Intelligence in Plain EnglishCombining Federated Learning with Privacy Preserving Techniques to offer robust privacyTraining models with data from different contributors is an appealing approach, since when more and more data is used, the performance of…Feb 10, 2021Feb 10, 2021
Published inArtificial Intelligence in Plain EnglishHow Robots Learn From Each OtherFederated Machine Learning in Action: An Efficiency AssessmentDec 9, 2020Dec 9, 2020
Published inThe StartupSetting Your Own Federated Learning Test CaseHow to properly train your Machine Learning model? That’s definitely not an easy question and it depends on many different aspects. As it…Nov 4, 2020Nov 4, 2020
Tackling the privacy issue: the solution of federated learningData, it’s always about the data!Jun 17, 2020Jun 17, 2020