research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/30/2021
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning
Federated edge learning (FEEL) is a promising distributed learning techn...
research
∙
01/10/2020
Exploiting Unlabeled Data in Smart Cities using Federated Learning
Privacy concerns are considered one of the main challenges in smart citi...
research
∙
01/07/2020