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  2. Decentralized computing - Wikipedia

    en.wikipedia.org/wiki/Decentralized_computing

    Decentralized computing is the allocation of resources, both hardware and software, to each individual workstation, or office location. In contrast, centralized computing exists when the majority of functions are carried out, or obtained from a remote centralized location. Decentralized computing is a trend in modern-day business environments.

  3. Decentralization - Wikipedia

    en.wikipedia.org/wiki/Decentralization

    Norman Johnson of Los Alamos National Laboratory wrote in a 1999 paper: "A decentralized system is where some decisions by the agents are made without centralized control or processing. An important property of agent systems is the degree of connectivity or connectedness between the agents, a measure global flow of information or influence.

  4. Decentralised system - Wikipedia

    en.wikipedia.org/wiki/Decentralised_system

    Graphical comparison of a centralised (A) and a decentralised (B) system. A decentralised system in systems theory is a system in which lower level components operate on local information to accomplish global goals.

  5. How to Build the Infrastructure of Web3 With Decentralized ...

    www.aol.com/news/build-infrastructure-web3...

    The Computing sector consists of projects that decentralize the sharing, storing, and transmission of data by removing intermediaries and ensuring privacy for all users. It plays a key role in ...

  6. Distributed artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Distributed_artificial...

    Furthermore, DAI systems are built to be adaptive to changes in the problem definition or underlying data sets due to the scale and difficulty in redeployment. DAI systems do not require all the relevant data to be aggregated in a single location, in contrast to monolithic or centralized Artificial Intelligence systems which have tightly ...

  7. Federated learning - Wikipedia

    en.wikipedia.org/wiki/Federated_learning

    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 focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1]

  8. Decentralized vs. Centralized Cryptocurrency Exchanges - AOL

    www.aol.com/news/decentralized-vs-centralized...

    The raging debate between decentralized and centralized cryptocurrency exchanges regarding which type better serves the public is still being hotly contested.

  9. Distributed ledger - Wikipedia

    en.wikipedia.org/wiki/Distributed_ledger

    In contrast to a centralized database, a distributed ledger does not require a central administrator, and consequently does not have a single (central) point-of-failure. [ 2 ] [ 3 ] In general, a distributed ledger requires a peer-to-peer (P2P) computer network and consensus algorithms so that the ledger is reliably replicated across ...