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السجلات المعروضة 21 -- 30 من 58
Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ...
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The recent pandemic along with the rapid increase in the number of patients that require continuous remote monitoring imposes several challenges to support the high quality of services (QoS) in remote health applications. ...
Graph Mapping Offloading Model Based On Deep Reinforcement Learning With Dependent Task
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
In order to solve the problem of task offloading with dependent subtasks in mobile edge computing (MEC), we propose a graph mapping offloading model based on deep reinforcement learning (DRL). We model the user's computing ...
3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ...
Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection
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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 ...
Spatiotemporal Location Differential Privacy for Sparse Mobile Crowdsensing
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
مSparse Mobile Crowdsensing (SparseMCS) has become an efficient method for collecting and inferring sensor data at the urban scale, attracting many researchers' attention. However, there is a risk of location privacy being ...
Block6Tel: Blockchain-based Spectrum Allocation Scheme in 60-envisioned Communications
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The 6G-based spectrum bands allocation to telecom providers would guarantee ultra peak rates, high availability, and extremely low-latency for various user applications. However, the spectrum allocation still suffers from ...
Deep Federated Learning for IoT-based Decentralized Healthcare Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Recent trends in the healthcare industry, such as the use of wearable IoT for continuous health monitoring, are setting new requirements for healthcare systems that boost data analysis. These systems should support ...
A Testbed for Implementing Lightweight Physical Layer Security in an IoT-based Health Monitoring System
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Telemedicine is a technique that allows patients to have health-related consultations without the need to be physically present in the hospital through phone and video calling technologies. In recent years, researchers ...
Blockchain and Learning-Based Computation Offloading in Space-Assisted Power IoT
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Power systems impose stringent security and delay requirements on computation offloading, which cannot be satisfied by existing PIoT. In this paper, we address this challenge by combining blockchain and machine learning. ...