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20172026
most citedElectrical Load Forecasting Using Edge Computing and Federated Learning

251 citations · 833 across the 65 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.NI2021★ 20 cited

Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach

Amine Abouaomar, Soumaya Cherkaoui, Zoubeir Mlika +1

Multi-access edge computing (MEC) and network virtualization technologies are important enablers for fifth-generation (5G) networks to deliver diverse applications and services. Se…

cs.NI2021★ 8 cited

A Network-based Compute Reuse Architecture for IoT Applications

Boubakr Nour, Soumaya Cherkaoui

The tremendous advancements in the Internet of Things (IoT) increasingly involve computationally intensive services. These services often require more computation resources than ca…

eess.SP2021★ 38 cited

Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning

Afaf Taik, Boubakr Nour, Soumaya Cherkaoui

The exponential growth of distributed energy resources is enabling the transformation of traditional consumers in the smart grid into prosumers. Such transition presents a promisin…

cs.NI2021

How Far Can We Go in Compute-less Networking: Computation Correctness and Accuracy

Boubakr Nour, Soumaya Cherkaoui

Emerging applications such as augmented reality and tactile Internet are compute-intensive and latency-sensitive, which hampers their running in constrained end devices alone or in…

cs.DC2021

Data-Aware Device Scheduling for Federated Edge Learning

Afaf Taik, Zoubeir Mlika, Soumaya Cherkaoui

Federated Edge Learning (FEEL) involves the collaborative training of machine learning models among edge devices, with the orchestration of a server in a wireless edge network. Due…