BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal//recurring_events_ical//2.0//EN
BEGIN:VEVENT
UID:94810da2-3dd3-4b2b-870d-f7f13a40aa47@support.access-ci.org
DTSTAMP:20240916T223109Z
DTSTART:20241114T170000Z
DTEND:20241114T180000Z
SUMMARY:OpenMined Webinar: Introduction to Privacy Preserving Machine Learn
 ing
DESCRIPTION:This one-hour live webinar will introduce participants to the f
 undamentals of Privacy Preserving Machine Learning (PPML). The session wil
 l introduce key PPML concepts such as Federated Learning, Differential Pri
 vacy, and Homomorphic Encryption, giving participants a foundational under
 standing of how to balance privacy and transparency with the effectiveness
  of ML models. During the webinar, attendees will get practical insights i
 nto integrating privacy-preserving techniques into ML workflows using PySy
 ft - an open source tool for secure and private machine learning.  Regist
 ration: https://openmined.github.io/intro-to-ppml-workshop
URL:https://support.access-ci.org/events/7569
END:VEVENT
END:VCALENDAR