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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.
Federated Enterprise Architecture is a collective set of organizational architectures (as defined by the enterprise scope), operating collaboratively within the concept of federalism, in which governance is divided between a central authority and constituent units balancing organizational autonomy with enterprise needs.
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 ...
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
The most widely known example is the Internet, which is Federated around the Internet Protocol (IP) stack of protocols. Another, more visible, example is Email , where the common use of the Simple Mail Transfer Protocol (SMTP), allows alice@gmail.com to communicate with bob@example.edu and eve@hotmail.com although the software implementing each ...
Created Date: 1/13/2010 4:29:06 PM
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification , knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.