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Diagram of a Federated Learning protocol with smartphones training a global AI model. Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients) collaboratively train a model while keeping their data decentralized, [1] rather than centrally stored.
Collaborative learning is a situation in which two or more people learn or attempt to learn something together. [1] Unlike individual learning, people engaged in collaborative learning capitalize on one another's resources and skills (asking one another for information, evaluating one another's ideas, monitoring one another's work, etc.).
Federated Learning of Cohorts (FLoC) is a type of web tracking. It groups people into "cohorts" based on their browsing history for the purpose of interest-based ...
A federated identity in information technology is the means of linking a person's electronic identity and attributes, stored across multiple distinct identity management systems. [ 1 ] Federated identity is related to single sign-on (SSO), in which a user's single authentication ticket, or token , is trusted across multiple IT systems or even ...
Not only a matter of education - HuffPost ... level. ...
Federated learning, a machine learning technique; Federated protocol, in networking, the ability for users to send messages from one network to another; Federated architecture, a pattern in enterprise architecture; Federated search, a type of electronic search; Federated database system, a type of meta-database management system
Image credits: Headpuncher #2. TIL Danny Trejo has a clause in his movie contracts that requires his villainous characters to die by the end of the film. He wants children to learn that crime ...
Distributed learning may be dependent on time if it includes synchronous sessions, and further time dependent if the course is paced. The oldest and most commonly used of these terms, distance education , can be used to describe distributed learning as defined above.