Federated Learning with Richard Chow and Fabrizio Biondi
Is decentralised machine learning the ultimate way forward in the field of AI and security? What hurdles do we still face and what will the model truly enable if we resolve them - this is what we discuss in full detail with Richard Chow from Intel and Fabrizio Biondi from Avast. Join more experts at Cybersec&AI Connected 2021 conference: https://cybersecai.com/About the guests:Richard Intro: Richard Chow is University Research Manager and Scientist in the University Research and Collaboration office within Intel Labs. He guides several of Intel’s academic research centers in the areas of security, networking, autonomous systems, and machine learning. Fabrizio Intro: Fabrizio Biondi got his PhD in Computer Science from the IT University of Copenhagen in 2014 and became an assistant professor of cybersecurity in France in 2016. He joined Avast in 2019, first as Research Manager, later as Staff Scientist, and he has been leading many projects and patents at Avast. Resources shared in the podcast:Brain Tumor Research, Intel and University of Pennsylvania:https://intel.ly/2XBTAPAPrivate AI Collaborative Research Institute:https://www.private-ai.org/
