Browsing by Author "Mhaisen N."
Now showing items 1-8 of 8
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Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
( Elsevier B.V. , 2022 , Article)Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. It is a promising solution for telemonitoring ... -
On Designing Smart Agents for Service Provisioning in Blockchain-powered Systems
( IEEE Computer Society , 2021 , Article)Service provisioning systems assign users to service providers according to allocation criteria that strike an optimal trade-off between users Quality of Experience (QoE) and the operation cost endured by providers. These ... -
Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints
( IEEE Computer Society , 2022 , Article)Distributed learning algorithms aim to leverage distributed and diverse data stored at users' devices to learn a global phenomena by performing training amongst participating devices and periodically aggregating their local ... -
Rational Contracts: Data-driven Service Provisioning in Blockchain-powered Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Smart Contracts (SCs), which are software programs that run on blockchain platforms, provide appealing security guarantees characterized by decentralized, autonomous, and verifiable execution. On the other hand, Service ... -
Real-Time Scheduling for Electric Vehicles Charging/Discharging Using Reinforcement Learning
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)With the increase in Electric Vehicles (EVs) penetration, their charging needs form an additional burden on the grid. Thus, charging coordination is necessary for safe and efficient EV use. The scheduling of EVs is especially ... -
Secure smart contract-enabled control of battery energy storage systems against cyber-attacks
( Elsevier B.V. , 2019 , Article)Battery Energy Storage Systems (BESSs) are an integral part of a sustainable and resilient smart grid. The security of such critical cyber-physical infrastructure is considered as a major priority for both industry and ... -
Self-Powered IoT-Enabled Water Monitoring System
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)While usable water on earth is sparse and costly to treat, statistics show excessive use worldwide. Penalties are issued to limit the excessive consumption; however, their impact is marginal as they do not identify the ... -
To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications
( Elsevier B.V. , 2020 , Article)Traceability and autonomous business logic execution are highly desirable features in IoT monitoring applications. Traceability enables verifying signals history for security or analytical purposes. On the other hand, the ...
