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Federatedjournals.com lookup results from whois.namecheap.com server:
  • Domain created: 2022-05-21T12:16:38Z
  • Domain updated: 2024-05-24T09:37:45Z
  • Domain expires: 2025-05-21T12:16:38Z 0 Years, 73 Days left
  • Website age: 2 Years, 292 Days
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Host Informations
Host name104.21.64.1
IP address104.21.64.1
Location United States
Latitude37.751
Longitude-97.822
TimezoneAmerica/Chicago
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Ripoff Report | holder-kirkland.federatedjournals.com …

HOLDER-KIRKLAND.FEDERATEDJOURNALS.COM Ripoff Reports, Complaints, Reviews, Scams, Lawsuits and Frauds Reported. We could not find any reports on HOLDER …

Ripoffreport.com
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Federated Learning for Healthcare Informatics - PMC

Nov 12, 2020 Difference with Existing Reviews. There has been a few review articles on federated learning recently. For example, Yang et al. [] wrote the early federated …

Ncbi.nlm.nih.gov
See details

Vertical Federated Learning: Concepts, Advances, and …

2 days ago Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with different features about the same set of users jointly train machine …

Ieeexplore.ieee.org
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DSFedCon: Dynamic Sparse Federated Contrastive …

2 days ago Federated learning (FL) makes it possible for multiple clients to collaboratively train a machine-learning model through communicating models instead of data, reducing …

Ieeexplore.ieee.org
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MR-FFL: A Stratified Community-Based Mutual …

3 days ago Fairness-aware federated learning (FFL) plays a crucial role in mitigating bias against specific demographic groups (e.g., gender, race, occupation) during collaborative …

Ieeexplore.ieee.org
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Federated Learning: A Comprehensive Overview of Methods and …

Jul 8, 2022 About this book. Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most important issues and …

Link.springer.com
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Accelerating artificial intelligence: How federated learning can ...

Oct 21, 2023 Federated learning, a machine learning technique in which data is maintained locally while the AI model training process is distributed globally to data behind hospital …

Journals.sagepub.com
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The future of digital health with federated learning

Sep 14, 2020 Abstract. Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is …

Nature.com
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A systematic review of federated learning: Challenges, …

Nov 1, 2023 2.1. Formulation of research questions. As our systematic review looks to explore the realm of FL and parameter aggregation, several crucial research questions …

Sciencedirect.com
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Federated learning for predicting clinical outcomes in ... - Nature

Sep 15, 2021 Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining data anonymity, thus removing …

Nature.com
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Federated Learning in Edge Computing: A Systematic Survey

Jan 7, 2022 Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services closer to data sources. EC combined with Deep Learning (DL) is a …

Ncbi.nlm.nih.gov
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Towards federated learning: An overview of methods …

Jan 10, 2023 This survey starts by describing relevant concepts, definitions and methods, followed by an in-depth investigation of federated model evaluation. Finally, we discuss promising application topics for ...

Wires.onlinelibrary.wiley.com
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Decentralized Federated Learning With Asynchronous ... - IEEE …

Jan 16, 2024 Federated learning (FL) enables wireless terminals to collaboratively learn a shared parameter model while keeping all the training data on devices per se. Parameter …

Ieeexplore.ieee.org
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Challenges and Trends in Federated Learning for Well-being and ...

Jan 1, 2022 A Blockchain-based FL architecture for healthcare solutions was presented in [13]. A two-layer architecture where individuals owning edge devices are at layer one, …

Sciencedirect.com
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Communication-Efficient Satellite-Ground Federated Learning …

2 days ago Large constellations of Low Earth Orbit (LEO) satellites have been launched for Earth observation and satellite-ground communication, which collect massive imagery …

Ieeexplore.ieee.org
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A Review on Federated Learning and Machine Learning …

May 23, 2022 Federated learning (FL) is a scheme in which several consumers work collectively to unravel machine learning (ML) problems, with a dominant collector …

Mdpi.com
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Federated Learning: Challenges, Applications and Future - MDPI

Mar 31, 2022 The idea behind FL is to train a model collaboratively among distributed actors without sharing the data and violating the privacy accord. Federated learning is …

Mdpi.com
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Asynchronous Federated and Reinforcement Learning for

Jan 2, 2024 Edge caching is a promising technology to reduce backhaul strain and content access delay in Internet-of-Vehicles (IoVs). It pre-caches frequently-used contents close …

Ieeexplore.ieee.org
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A review of applications in federated learning - ScienceDirect

Nov 1, 2020 Abstract. Federated Learning (FL) is a collaboratively decentralized privacy-preserving technology to overcome challenges of data silos and data sensibility. Exactly …

Sciencedirect.com
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Federated Learning: Challenges, Methods, and Future Directions

Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or hospitals, while keeping data localized. Training in …

Ieeexplore.ieee.org
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