Loughborough University
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Alia Asheralieva

Lecturer

Loughborough

Publications

  • Efficient Distributed Edge Computing for Dependent Delay-Sensitive Tasks in Multi-Operator Multi-Access Networks
  • Lagrange Coded Federated Learning (L-CoFL) Model for Internet of Vehicles
  • Dynamic resource allocation with integrated reinforcement learning for a D2D-enabled LTE-A network with access to unlicensed bandt
  • Learning-Based Mobile Edge Computing Resource Management to Support Public Blockchain Networks
  • Optimization of ultrasound information imaging algorithm in cardiovascular disease based on image enhancement
  • Differential Protection of Power Transformers based on RSLVQ-Gradient Approach Considering SFCL
  • Throughput-Efficient Lagrange Coded Private Blockchain for Secured IoT Systems
  • A Survey of Coded Distributed Computing
  • Reputation-Based Coalition Formation for Secure Self-Organized and Scalable Sharding in IoT Blockchains with Mobile-Edge Computing
  • QoS-Oriented Mode, Spectrum, and Power Allocation for D2D Communication Underlaying LTE-A Network
  • Joint bandwidth and power allocation for LTE-based cognitive radio network based on buffer occupancy
  • An Asymmetric Evolutionary Bayesian Coalition Formation Game for Distributed Resource Sharing in a Multi-Cell Device-to-Device Enabled Cellular Network
  • Auction-and-Learning Based Lagrange Coded Computing Model for Privacy-Preserving, Secure, and Resilient Mobile Edge Computing
  • Ultra-Reliable Low-Latency Slicing in Space-Air-Ground Multi-Access Edge Computing Networks for Next-Generation Internet of Things and Mobile Applications
  • A Novel Forwarding and Caching Scheme for Information-Centric Software-Defined Networks
  • An Autonomous Learning-Based Algorithm for Joint Channel and Power Level Selection by D2D Pairs in Heterogeneous Cellular Networks
  • Distributed Dynamic Resource Management and Pricing in the IoT Systems with Blockchain-as-a-Service and UAV-Enabled Mobile Edge Computing
  • User-Centric Blockchain for Industry 5.0 Applications
  • Game Theory and Lyapunov Optimization for Cloud-Based Content Delivery Networks with Device-to-Device and UAV-Enabled Caching
  • A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues
  • A robust privacy preserving approach for electronic health records using multiple dataset with multiple sensitive attributes
  • Combining contract theory and lyapunov optimization for content sharing with edge caching and device-to-device communications
  • Dynamic Buffer Status-Based Control for LTE-A Network with Underlay D2D Communication
  • Optimizing Age of Information and Security of the Next-Generation Internet of Everything Systems
  • SAID: ECC-Based Secure Authentication and Incentive Distribution Mechanism for Blockchain-Enabled Data Sharing System
  • Bayesian Reinforcement Learning-Based Coalition Formation for Distributed Resource Sharing by Device-to-Device Users in Heterogeneous Cellular Networks
  • Hierarchical Game-Theoretic and Reinforcement Learning Framework for Computational Offloading in UAV-Enabled Mobile Edge Computing Networks with Multiple Service Providers
  • Efficient Dynamic Distributed Resource Slicing in 6G Multi-Access Edge Computing Networks with Online ADMM and Message Passing Graph Neural Networks
  • A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications
  • Fast and Secure Computational Offloading with Lagrange Coded Mobile Edge Computing
  • A Deep Learning-Based Privacy-Preserving Model for Smart Healthcare in Internet of Medical Things Using Fog Computing
  • Multi-agent Q-learning for autonomous D2D communication
  • Effective resource block allocation procedure for quality of service provisioning in a single-operator heterogeneous LTE-A network
  • Throughput-Efficient Blockchain for Internet-of-Vehicles
  • A formal adversarial perspective: Secure and efficient electronic health records collection scheme for multi-records datasets
  • Secure Federated Learning Based on Coded Distributed Computing
  • Optimal Contract Design for Joint User Association and Intercell Interference Mitigation in Heterogeneous LTE-A Networks with Asymmetric Information
  • Fast and Secure Consortium Blockchains with Lightweight Block Verifiers
  • K-nddp: An efficient anonymization model for social network data release
  • Analytical Method for Ferroresonance Solutions in Series Compensated Power Systems due to GICs: A Graphical Approach
  • Bayesian Reinforcement Learning and Bayesian Deep Learning for Blockchains with Mobile Edge Computing
  • A Survey on Clustering Algorithms in Wireless Sensor Networks: Challenges, Research, and Trends
  • Optimal Computational Offloading and Content Caching in Wireless Heterogeneous Mobile Edge Computing Systems With Hopfield Neural Networks
  • Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management
  • F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes
  • An Enhanced Block Validation Framework With Efficient Consensus for Secure Consortium Blockchains
  • AtomCI: A New System for the Atomic Cross-Chain Smart Contract Invocation Spanning Heterogeneous Blockchains
  • Multi-Access Edge Computing for Real-Time Applications With Sporadic DAG Tasks – A Graphical Game Approach
  • New Gas-Efficient Authenticated Range Query Schemes in Hybrid-Storage Blockchain
  • Secure and Efficient Coded Multi-Access Edge Computing With Generalized Graph Neural Networks
  • Traffic prediction based packet transmission priority technique in an infrastructure wireless network
  • A predictive network resource allocation technique for cognitive wireless networks
  • Delay aware resource allocation scheme for a cognitive LTE based radio network
  • Performance of LTE network for VoIP users
  • Dynamic resource allocation in a LTE/WLAN heterogeneous network
  • Traffic characterization and service performance in FON network
  • Joint power and bandwidth allocation in IEEE802.22 based cognitive LTE network
  • Prediction based bandwidth allocation for cognitive LTE network
  • Delay and loss due to uplink packet scheduling in LTE network
  • Resource allocation for LTE-based cognitive radio network with queue stability and interference constraints
  • Performance analysis of VoIP services on the LTE network
  • A two-step resource allocation procedure for LTE-based cognitive radio network

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