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04/26/2023
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning
Clustered federated Multitask learning is introduced as an efficient tec...
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08/16/2021
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
Clustered Federated Multitask Learning (CFL) was introduced as an effici...
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07/13/2021
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey
Recognizing the patient's emotions using deep learning techniques has at...
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06/20/2021
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
In Federated edge learning (FEEL), energy-constrained devices at the net...
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03/30/2021
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning
Federated edge learning (FEEL) is a promising distributed learning techn...
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01/10/2020
Exploiting Unlabeled Data in Smart Cities using Federated Learning
Privacy concerns are considered one of the main challenges in smart citi...
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01/07/2020
