BEGIN:VCALENDAR
VERSION:2.0
PRODID:Departament d'Enginyeria Informàtica i Matemàtiques
BEGIN:VEVENT
UID:6a278fca92413
DTSTART:20260615T093000Z
SEQUENCE:0
TRANSP:OPAQUE
DTEND:20260615T100000Z
URL:http://www.deim.urv.cat/ca/agenda-ca/12370/deiminari-semi-supervised-fe
 derated-intrusion-detection-for-medical-iot
LOCATION:Laboratori 231 DEIM
SUMMARY:DEIMinari: Semi-Supervised Federated Intrusion Detection for Medica
 l IoT
CLASS:PUBLIC
DESCRIPTION:Títol:&nbsp\;Semi-Supervised Federated Intrusion Detection for
  Medical IoT\n\nConferenciant: Ahlem Harhad\n\nInstitució:&nbsp\;Universi
 ty of Picardie Jules Verne\n\nProfessor/a organitzador/a: Jesús A. Manjó
 n Paniagua\, Najeeb Moharram Salim\, Jebreel\n\nHora: 11:30h\n\nResum:\n\n
 This talk will present Ahlem Harhad&#39\;s PhD research on semi-supervised
  federated intrusion detection for Medical IoT. It will cover federated ID
 S methods\, semi-supervised federated learning approaches\, and recent wor
 k on improving existing methods for Medical IoT security. The talk will al
 so introduce ongoing work based on BYOL and discuss current limitations an
 d future improvements
DTSTAMP:20260609T040010Z
END:VEVENT
END:VCALENDAR