LAUSR

Decentralized federated meta‐learning framework for few‐shot multitask learning

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1 Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22951

Abstract: Federated learning is increasingly attractive, however as the number of training samples on a single device is too small and the training tasks of the devices are different, it faces the few‐shot multitask learning problem.… read more here.

Keywords: multitask; shot multitask; decentralized federated; multitask learning ... See more keywords

Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3141913

Abstract: Smart healthcare relies on artificial intelligence (AI) functions for learning and analysis of patient data. Since large and diverse datasets for training of Machine Learning (ML) models can rarely be found in individual medical centers,… read more here.

Keywords: federated learning; decentralized federated; tumor segmentation; healthcare ... See more keywords

Decentralized Federated Learning Over Slotted ALOHA Wireless Mesh Networking

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3246924

Abstract: Federated Learning (FL) presents a mechanism to allow decentralized training for machine learning (ML) models inherently enabling privacy preservation. The classical FL is implemented as a client-server system, which is known as Centralised Federated Learning… read more here.

Keywords: communication; federated learning; decentralized federated; mesh networking ... See more keywords

Decentralized Federated Learning With Markov Chain Based Consensus for Industrial IoT Networks

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2 Published in 2023 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2022.3192297

Abstract: Federated learning (FL) provides a novel framework to collaboratively train a shared model in a distribution fashion by virtue of a central server. However, FL is inappropriate for a serverless scenario and also suffers from… read more here.

Keywords: consensus; federated learning; decentralized federated; model ... See more keywords

Decentralized Federated Learning for Industrial IoT With Deep Echo State Networks

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2 Published in 2023 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2022.3194627

Abstract: Federated learning (FL) has recently been adopted to train shared models across industrial Internet of Things (IoT) devices without revealing their private raw data. Conventional FL usually relies on a central server for coordination. However,… read more here.

Keywords: iot deep; deep echo; federated learning; decentralized federated ... See more keywords