federated learning wikipedia - EAS
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See all on Wikipediahttps://en.wikipedia.org/wiki/Federated_learningFederated learning (also known as collaborative learning) is a machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging them. This approach stands in contrast to traditional centralized machine learning … See more
Federated learning aims at training a machine learning algorithm, for instance deep neural networks, on multiple local datasets contained in local nodes without explicitly exchanging data samples. The general principle … See more
Federated learning requires frequent communication between nodes during the learning process. Thus, it requires not only enough local … See more
In this section, the notation of the paper published by H. Brendan McMahan and al. in 2017 is followed.
To describe the federated strategies, let us introduce some … See moreIterative learning
To ensure good task performance of a final, central machine learning model, federated learning relies on an iterative process broken up … See moreNetwork topology
The way the statistical local outputs are pooled and the way the nodes communicate with each other can change from the centralized … See morePrivacy
The main advantage of using federated approaches to machine learning is to ensure data See moreFederated learning has started to emerge as an important research topic in 2015 and 2016, with the first publications on federated averaging … See more
Wikipedia text under CC-BY-SA license- https://en.wikipedia.org/wiki/Federated_Learning_of_Cohorts
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 advertising. FLoC was being developed as a part of Google's Privacy Sandbox initiative, which includes several other advertising-related technologies with bird-themed names. Despite "federated learning" in the name, FLoC does not utilize any federated learning.
Wikipedia · Text under CC-BY-SA license- Organization: Google
- Status: Replaced by Topics API
- Abbreviation: FLoC
- Year started: 2021
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- https://en.wikipedia.org/wiki/Talk:Federated_learning
- Limwyb (talk) 06:36, 7 January 2020 (UTC) The paper "Federated Learning in mobile edge networks: A comprehensive survey" is a useful resource that discusses the technical issues of FL and can be considered as an additional reference. https://arxiv.org/abs/1909.11875[reply] (I'm not a regular Wikipedia contributor so I'm not sure if …
Federated learning - HandWiki
https://handwiki.org/wiki/Federated_learning- Federated learning aims at training a machine learning algorithm, for instance deep neural networks, on multiple local datasets contained in local nodes without explicitly exchanging data samples. The general principle consists in training local models on local data samples and exchanging parameters (e.g. the weights and biases of a deep neural net...
- https://www.unite.ai/what-is-federated-learning
WebAug 23, 2020 · The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing …
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- https://en.wikipedia.org/wiki/Talk:Federated_Learning_of_Cohorts
WebSources: The Verge: "Google wants to replace the third-party tracking cookie with a complicated set of (bird-themed) technologies that are meant to let ad companies target …
- https://research.aimultiple.com/federated-learning
WebMay 29, 2021 · Federated learning is a machine learning method that enables machine learning models obtain experience from different data sets located in different sites (e.g. …
- https://venturebeat.com/business/what-is-federated-learning
WebAug 13, 2021 · The main idea behind federated learning is to train a machine learning model on user data without the need to transfer that data to cloud servers. Federated …
- https://en.wikipedia.org/wiki/Federated_Wiki
WebFederated Wiki (formerly Smallest Federated Wiki) is a software platform developed by Ward Cunningham which adds forking features found in source control systems and other …
- https://en.wikipedia.org/wiki/Federated
WebFederated learning, a machine learning technique Federated protocol, in networking, the ability for users to send messages from one network to another Federated architecture, a …
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