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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.
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 ...
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.
Computer science (also called computing science) is the study of the theoretical foundations of information and computation and their implementation and application in computer systems. One well known subject classification system for computer science is the ACM Computing Classification System devised by the Association for Computing Machinery.
The Federated Computing Research Conference, FCRC, is an event that brings together several academic conferences, workshops, and plenary talks in the field of computer science. FCRC has been organized and held in the United States in 1993, 1996, 1999, 2003, 2007, 2011, 2015, 2019, and 2023. The 2023 event was held in Orlando, Florida.
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 ...
In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms. [ 1 ] Overview
The ACM Computing Classification System (CCS) is a subject classification system for computing devised by the Association for Computing Machinery (ACM). The system is comparable to the Mathematics Subject Classification (MSC) in scope, aims, and structure, being used by the various ACM journals to organize subjects by area.