Examining Privacy and Trust Issues at the Edge of Isomorphic IoT Architectures: Case Liquid AI
This research highlights the heightened threats to data integrity and stakeholder trust in these evolving ecosystems through an intensive examination of the literature, initiating a pioneering discourse emphasizing fostering a foundation for developing secure and trustworthy Liquid AI environments.