Browsing Computer Science & Engineering by Subject "federated learning (FL)"
Now showing items 1-5 of 5
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Budgeted online selection of candidate iot clients to participate in federated learning
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ... -
Collaborative Byzantine Resilient Federated Learning
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Federated learning (FL) enables an effective and private distributed learning process. However, it is vulnerable against several types of attacks, such as Byzantine behaviors. The first purpose of this work is to demonstrate ... -
Dynamic Contract Design for Federated Learning in Smart Healthcare Applications
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Currently, the data collected by the Internet of Healthcare Things, i.e., healthcare oriented Internet of Things (IoT), still rely on cloud-based centralized data aggregation and processing. To reduce the need for transmission ... -
Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Air pollution monitoring, finding the hazardous zone, and future air quality predictions have recently become a significant issue for many researchers. With the adverse effect of low air quality on human health, it has ... -
Federated Learning over Energy Harvesting Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In this article, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base stations (BSs) employs massive multiple-input-multiple-output (MIMO) to serve a set of ...