Browsing by Subject "Federated learning"
Now showing items 1-8 of 8
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Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)With the rapid elevation of technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional cloud analytics-based approach is not suitable for a long time and secure health monitoring ... -
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Mobile edge computing (MEC) has been considered as a promising technology to provide seamless integration of multiple application services. Federated learning (FL) is carried out at edge clients in MEC for privacy-preserving ... -
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
( IEEE , 2022 , Conference Paper)Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ... -
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
( Elsevier , 2021 , Article)Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ... -
Making federated learning robust to adversarial attacks by learning data and model association
( Elsevier , 2022 , Article)One of the key challenges in federated learning (FL) is the detection of malicious parameter updates. In a typical FL setup, the presence of malicious client(s) can potentially demolish the overall training of the shared ... -
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifically, in industrial Internet of Things ... -
RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC)
( IEEE , 2023 , Article)Federated learning (FL) paradigms aim to amalgamate diverse data properties stored locally at each user, while preserving data privacy through sharing users’ learning experiences and iteratively aggregating their ... -
User Scheduling in Federated Learning over Energy Harvesting Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)In this paper, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base station (BS) is equipped with a massive multiple-input multiple-output (MIMO) system and ...