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  2. Data sharing - Wikipedia

    en.wikipedia.org/wiki/Data_sharing

    Data sharing. The decision whether and how to share data often rests with researchers. Data sharing is the practice of making data used for scholarly research available to other investigators. Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many ...

  3. Differential privacy - Wikipedia

    en.wikipedia.org/wiki/Differential_privacy

    An informal definition of differential privacy. Differential privacy (DP) is a mathematically rigorous framework for releasing statistical information about datasets while protecting the privacy of individual data subjects. It enables a data holder to share aggregate patterns of the group while limiting information that is leaked about specific ...

  4. Delta encoding - Wikipedia

    en.wikipedia.org/wiki/Delta_encoding

    Delta encoding is a way of storing or transmitting data in the form of differences (deltas) between sequential data rather than complete files; more generally this is known as data differencing. Delta encoding is sometimes called delta compression , particularly where archival histories of changes are required (e.g., in revision control software ).

  5. rsync - Wikipedia

    en.wikipedia.org/wiki/Rsync

    rsync. rsync (r emote sync) is a utility for transferring and synchronizing files between a computer and a storage drive and across networked computers by comparing the modification times and sizes of files. [8] It is commonly found on Unix-like operating systems and is under the GPL-3.0-or-later license. [4][5][9][10][11][12]

  6. Woman Exposes Cheating Boyfriend By Sharing 58-Page ... - AOL

    www.aol.com/woman-exposes-cheating-boyfriend...

    The post Woman Exposes Cheating Boyfriend By Sharing 58-Page PowerPoint—He Ends Up Getting Fired first appeared on Bored Panda. ... The file amassed 300 million views after the anonymous woman ...

  7. Federated learning - Wikipedia

    en.wikipedia.org/wiki/Federated_learning

    Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1] This stands in contrast to machine learning settings in which data is centrally stored ...

  8. Caitlin Covington, the Face of 'Christian Girl Autumn,' on ...

    www.aol.com/caitlin-covington-face-christian...

    A post shared by Caitlin Covington (@cmcoving) When her kids, 1 ½ and 3 years old, join the trips, it adds a whole new layer of complexity, as the family likes to coordinate their outfits.

  9. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    Website. databricks.com. Databricks, Inc. is a global data, analytics and artificial intelligence company founded by the original creators of Apache Spark. [3] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models. [4]

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