Federated Learning

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Introduction

The aim of this project is to investigate the problems related to Federated Learning within Internet of Things. Federated Learning is one of the hottest topics nowadays. We were among the first researchers who have addressed security and federated learning. That was followed by a technical survey about Federated Learning and by another work offering optimal client selection for IoT Federated Learning. Optimization models and machine learning techniques supported with real life experiments were used to build our solutions.

Contributions

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach Deep reinforcement Learning for proactive horizontal and vertical resource scaling. pdf

Authors: Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement Deep Reinforcement Learning for Service Placement pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Reinforcement R-learning Model for Time Scheduling of On-demand Fog Placement On-demand Fog Scheduling pdf

Authors: Peter Farhat, Hani Sami, Azzam Mourad

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services On-demand Vehicular Fog pdf

Authors: Hani Sami, Azzam Mourad, Wassim El-Hajj

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment On-demand Fog Formation pdf

Authors: Hani Sami, Azzam Mourad

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach Deep reinforcement Learning for proactive horizontal and vertical resource scaling. pdf

Authors: Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement Deep Reinforcement Learning for Service Placement pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Reinforcement R-learning Model for Time Scheduling of On-demand Fog Placement On-demand Fog Scheduling pdf

Authors: Peter Farhat, Hani Sami, Azzam Mourad

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services On-demand Vehicular Fog pdf

Authors: Hani Sami, Azzam Mourad, Wassim El-Hajj

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment On-demand Fog Formation pdf

Authors: Hani Sami, Azzam Mourad

Sampling Online Social Networks with Tailored Mining Strategies Social Networks Analysis PDF

Authors: Mohamad Arafeh, Paolo Ceravolo, Azzam Mourad, Ernesto Damiani

DOI: 10.1109/SNAMS.2019.8931829

Ontology Based Recommender System Using Social Network Data social network, data miner, big data, data analysis, data sampling, ontology, recommender system PDF

Authors: Mohamad Arafeh, Paolo Ceravolo, Azzam Mourad, Ernesto Damiani, Emanuele Bellini

DOI: 10.1016/j.future.2020.09.030

A Blockchain based Architecture for the Detection of Fake Sensing in Mobile Crowdsensing Crowdsensing, fake sensing, Blockchain, smart cities, citizens’ behavior monitoring PDF

Authors: Mohamad Arafeh, May El Barachi, Azzam Mourad, Fatna Belqasmi

DOI: 10.23919/SpliTech.2019.8783092

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach Deep reinforcement Learning for proactive horizontal and vertical resource scaling. pdf

Authors: Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement Deep Reinforcement Learning for Service Placement pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Reinforcement R-learning Model for Time Scheduling of On-demand Fog Placement On-demand Fog Scheduling pdf

Authors: Peter Farhat, Hani Sami, Azzam Mourad

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services On-demand Vehicular Fog pdf

Authors: Hani Sami, Azzam Mourad, Wassim El-Hajj

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment On-demand Fog Formation pdf

Authors: Hani Sami, Azzam Mourad

Stable federated fog formation: An evolutionary game theoretical approach Fog Federations

Authors: Ahmad Hammoud, Hadi Otrok, Azzam Mourad, Zbigniew Dziong

A Novel Federated Fog Architecture Embedding Intelligent Formation Fog Federations

Authors: Hala Shamseddine; Jana Nizam; Ahmad Hammoud; Azzam Mourad; Hadi Otrok; Haidar Harmanani; Zbigniew Dziong

Cloud federation formation using genetic and evolutionary game theoretical models Cloud Federations

Authors: Ahmad Hammoud, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Haidar Harmanani

On the detection of passive malicious providers in cloud federations Cloud Federations

Authors: Ahmad Hammoud, Hadi Otrok, Azzam Mourad, Omar Abdel Wahab, Jamal Bentahar

A Blockchain based Architecture for the Detection of Fake Sensing in Mobile Crowdsensing Crowdsensing, fake sensing, Blockchain, smart cities, citizens’ behavior monitoring PDF

Authors: Mohamad Arafeh, May El Barachi, Azzam Mourad, Fatna Belqasmi

DOI: 10.23919/SpliTech.2019.8783092

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach Deep reinforcement Learning for proactive horizontal and vertical resource scaling. pdf

Authors: Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement Deep Reinforcement Learning for Service Placement pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Datasets

Dataset 1
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Dataset 1
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Dataset 1
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Contact Information

icaangroup@gmail.com

Publications Statistics

Over 100 Publications
Over 2000 Citation Counts
9 Research Members

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