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   Articles with "federated learning" as a keyword



Federated learning‐based colorectal cancer classification by convolutional neural networks and general visual representation learning

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recommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22875

Abstract: Colorectal cancer is the fourth fatal disease in the world, and the massive burden on the pathologists related to the classification of precancerous and cancerous colorectal lesions can be decreased by deep learning (DL) methods.… read more here.

Keywords: visual representation; representation learning; federated learning; learning ... See more keywords

Classification of the Stages of Nonalcoholic Steatohepatitis via Federated General Visual Representation Learning

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recommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.23118

Abstract: The excess buildup of fat within a patient's liver, even in the absence of any previous alcohol consumption, defines nonalcoholic fatty liver disease (NAFLD). Accurate classification of NAFLD subtypes, especially nonalcoholic steatohepatitis (NASH), through histology… read more here.

Keywords: classification; stages nonalcoholic; federated learning; nonalcoholic steatohepatitis ... See more keywords

CRFL: A novel federated learning scheme of client reputation assessment via local model inversion

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22914

Abstract: Federated learning (FL) is gradually becoming a key learning paradigm in Privacy‐preserving Machine Learning (ML) systems. In FL, a large number of clients cooperate with a central server to learn a shared model without sharing… read more here.

Keywords: client; federated learning; crfl; model ... See more keywords

Security of federated learning for cloud‐edge intelligence collaborative computing

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22992

Abstract: Federated Learning (FL) is one of the key technologies to solve privacy protection for cloud‐edge intelligent collaborative computing, and its security and privacy issues have attracted extensive attention from academia and industry. FL is a… read more here.

Keywords: collaborative computing; federated learning; cloud edge; privacy ... See more keywords

Robust privacy‐preserving federated learning framework for IoT devices

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22993

Abstract: Federated Learning (FL) is a framework where multiple parties can train a model jointly without sharing private data. Private information protection is a critical problem in FL. However, the communication overheads of existing solutions are… read more here.

Keywords: federated learning; iot devices; framework; privacy preserving ... See more keywords

Federated learning with stochastic quantization

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.23056

Abstract: This paper studies the distributed federated learning problem when the exchanged information between the server and the workers is quantized. A novel quantized federated averaging algorithm is developed by applying stochastic quantization scheme to the… read more here.

Keywords: model parameters; stochastic quantization; federated learning; model ... See more keywords

Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset.

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recommendations! Published in 2024 at "Medical physics"

DOI: 10.1002/mp.16964

Abstract: BACKGROUND Notwithstanding the encouraging results of previous studies reporting on the efficiency of deep learning (DL) in COVID-19 prognostication, clinical adoption of the developed methodology still needs to be improved. To overcome this limitation, we… read more here.

Keywords: privacy; large multi; model; federated learning ... See more keywords

A survey on federated learning in data mining

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recommendations! Published in 2022 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"

DOI: 10.1002/widm.1443

Abstract: Data mining is a process to extract unknown, hidden, and potentially useful information from data. But the problem of data island makes it arduous for people to collect and analyze scattered data, and there is… read more here.

Keywords: learning data; mining; data mining; survey federated ... See more keywords

Federated learning: a step in the right direction to improve data equity

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recommendations! Published in 2024 at "Intensive Care Medicine"

DOI: 10.1007/s00134-024-07525-1

Abstract: We would like to thank Sauer and colleagues for their insightful comments [1] on our recent article in Intensive Care Medicine, in which we proposed a federated infrastructure for intensive care unit (ICU) data across… read more here.

Keywords: right direction; learning step; intensive care; step right ... See more keywords

Incremental federated learning for traffic flow classification in heterogeneous data scenarios

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recommendations! Published in 2024 at "Neural Computing and Applications"

DOI: 10.1007/s00521-024-10281-4

Abstract: This paper explores the comparative analysis of federated learning (FL) and centralized learning (CL) models in the context of multi-class traffic flow classification for network applications, a timely study in the context of increasing privacy… read more here.

Keywords: traffic flow; federated learning; flow classification; traffic ... See more keywords

Trustworthy federated learning: privacy, security, and beyond

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recommendations! Published in 2024 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-024-02285-2

Abstract: While recent years have witnessed the advancement in big data and artificial intelligence, it is of much importance to safeguard data privacy and security. As an innovative approach, federated learning (FL) addresses these concerns by… read more here.

Keywords: privacy security; learning privacy; privacy; federated learning ... See more keywords