Room: Baltic ala
Time zone: Estonia Time (GMT+3)
Monday, September 18th 2023 |
| 08:00-09:00 AM |
Registration |
| 09:00-09:30 AM |
Opening Session |
| 09:30-10:30 AM |
Keynote 1: Walid Saad
Title: Unlocking the Wireless Metaverse with 6G and Artificial Intelligence
Chair: Moayad Aloqaily |
| 10:30 -11:00 AM |
Coffee Break |
| 11:00 AM-12:30 PM |
Technical Session 1 |
Chair: Yiannis Verginadis and Sadi Alawadi |
- NebulOuS: A Meta-Operating System with Cloud Continuum Brokerage Capabilities
Yiannis Verginadis, Christos-Alexandros Sarros, Mario Reyes de Los Mozos, Simeon Veloudis, Radosław Piliszek, Nicolas Kourtellis and Geir Horn.
- Evaluating Distributed Computation Offloading Scalability for Multiple Robots
Fatima Ayoub and Rudi Villing
- IESF: Interval Event Streaming Format for the Data Lake of Production
Michael Zeng, Maximilian Rudack, Mario Moser, Sebastian Ulrich, Aymen Gannouni, Anas Abdelrazeq, Andreas Bührig-Polaczek and Robert Schmitt
- An embedded low-cost solution for a fog computing device on the Internet of Things
Pietro d’Agostino, Massimo Violante and Gianpaolo Macario
- Analyzing Application Response Time Lag: in Mobile Edge and Fog Computing Environments
Mohamed Fazil Hussain, Malek Athammah, Salwa Sayeedul Hasan and Hasan Rauf
|
| 12:00 -1:30 PM |
Lunch Break |
| 1:30-3:30 PM |
Technical Session 2 |
Chair: Raphael Schermann and Hussam Fakhouri |
- A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks
William Lindskog and Christian Prehofer
- Zero-Touch privacy preserving provisioning in an Edge-, Fog-, and Cloud environment
Raphael Schermann, Simone Bussa, Rainer Urian and Christian Steger
- Robust-DSN – Performance and Fault Tolerance of a Distributed Storage Network
Zeeshan Hameed, Hamid R. Barzegar, Nabil El Ioini and Claus Pahl.
- Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions
Connor Imes, David King and John Paul Walters
- An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks
Hussam Fakhouri, Sadi Alawadi, Feras Awaysheh, Faten Hamad, Hindya Al-Maqableh, Sawsan Alzubi, Mohamed Al-Adwan and Ahmad Al Hwaitat
- Securing the Digital Fortress: Unveiling the Modern Battleground for Sustainable OSs and the Digital Threatscape
Shadi Alzubi, Muder Almiani, Ala Mughaid, Samar Hendawi and Islam Al Talahin
|
| 3:30-4:00 PM |
Coffee Break |
| 4:00-5:30 PM |
Technical Session 3 |
Chair: Ala Mughaid and Fahed Alkhabbas |
- ART4FL: An Agent-based Architectural Framework for Trustworthy Federated Learning in the IoT
Fahed Alkhabbas, Sadi Alawadi, Majed Ayyad, Romina Spalazzese and Paul Davidsson
- Modelling And Simulation For Detecting Vulnerabilities And Security Threats Of SmartContracts Using Machine Learning
Ala Mughaid, Ibrahim Obeidat, Shadi Alzubi, Andaleeb Shdaifat and Razan Alhayjna
- Optical Character Recognition Using Optimized Convolutional Networks
Anum Nawaz, Muhammad Irfan and Tomi Westerlund
- Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification
Mahmoud Nazzal, Nura Aljaafari, Ahmed Sawalmeh, Abdallah Khreishah, Muhammad Anan, Abdulelah Algosaibi, Mohammed Alnaeem, Adel Aldalbahi, Abdulaziz Alhumam, Conrado Vizcarra and Shadan Alhamed
- Botnet Detection Using Label Propagation and Batch K-means Clustering for Securing IoT Networks
Muder Almiani, Alia Abughazleh, Yaser Jararweh and Ala Mughaid
|
Tuesday, September 19th 2023 |
| 08:00-09:00 AM |
Registration |
| 09:00-09:30 AM |
Opening Session |
| 09:30-10:30 AM |
Keynote 2: Tania Lorido-Botran
Title: Metaverse, Metastability and Beyond
Chair: Ouns Bouachir |
| 10:30 -11:00 AM |
Coffee Break |
| 11:00 AM-12:30 PM |
Technical Session 4 (FLTA) |
Chair: Feras Awaysheh |
- Federated Ensemble YOLOv5 – A Better Generalized Object Detection Algorithm
Vinit Hegiste, Tatjana Legler and Martin Ruskowski
- Federated Bayesian Network Ensembles
Florian van Daalen, Lianne Ippel, Andre Dekkers and Inigo Bermejo
- Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study
Kateryna Mishchenko, Samaneh Mohammadi, Mohammadreza Mohammadi and Sima Sinaei
- Towards Energy-Aware Federated Traffic Prediction for Cellular Networks
Vasileios Perifanis, Nikolaos Pavlidis, Selim Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos Efraimidis, Paolo Dini and Remous-Aris Koutsiamanis
- RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs
Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan and Mojtaba Jafaritadi
|
| 12:00 -1:30 PM |
Lunch Break |
| 1:30-2:30 PM |
Keynote 3: Mérouane Debbah
Title: Immersive Media and Massive Twinning: Advancing Towards the Metaverse
Chair: Feras Awaysheh |
| 2:30-3:30 PM |
Technical Session 5 (FLTA) |
Chair: Fahed Alkhabbas |
- Federated Learning for Early Dropout Prediction on Healthy Ageing Applications
Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis and Pavlos Efraimidis
- Federated Object Detection for Quality Inspection in Shared Production
Vinit Hegiste, Tatjana Legler, Kirill Fridman and Martin Ruskowski
- Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data
William Lindskog, Christian Prehofer and Sarandeep Singh
|
| 3:30-4:00 PM |
Coffee Break |
| 4:00-6:00 PM |
Technical Session 6 (FLTA) |
Chair: Sadi Alawadi |
- An Investigation of Recent Backdoor Attacks and Defenses in Federated Learning
Qiuxian Chen and Yizheng Tao
- Enabling on-demand Crowdsourced Federated Learning Over IoT
Mehreen Tahir and Muhammad Intizar Ali
- Label-Aware Aggregation for Improved Federated Learning
Ahmad Khalil, Aidmar Wainakh, Ephraim Zimmer, Javier Parra-Arnau, Antonio Fernandez Anta, Tobias Meuser and Ralf Steinmetz
- Federated Boolean Neural Networks Learning
Louis Leconte, Van Minh Nguyen and Eric Moulines
- Federated Learning Showdown: The Comparative Analysis of Federated Learning Frameworks
Sai Praneeth Karimireddy, Narasimha Raghavan Veeraragavan, Severin Elvatun and Jan Franz Nygård
- Communication Topologies for Decentralized Federated Learning
Michael Dötzer, Yixin Mao and Klaus Diepold
|
| 8:00-10:30 PM |
Gala Dinner
Location: TBA |
Wednesday, September 20th 2023 |
| 08:00-09:00 AM |
Registration |
| 09:00-09:30 AM |
Opening Session |
| 09:30-10:30 AM |
Keynote 4: Ian F. Akyildiz
Title: NETWORKING 2030: Metaverse, Extended Reality, Hologram Type and Mulsemedia Communication Challenges for 6G/Beyond Wireless Systems
Chair: Yaser Jararweh |
| 10:30 -11:00 AM |
Coffee Break |
| 11:00 AM-12:30 PM |
Technical Session 7 |
Chair: Muhammad Mahtab Alam |
- Enhanced Decision Mechanism for RAN Subslicing in Management Closed Control Loop
Marika Kulmar, Ivo Müürsepp and Muhammad Mahtab Alam.
- Automatic NLOS Classification from Virtual 3D City Models
Ivo Müürsepp and Muhammad Mahtab Alam
- Efficient On-device Transfer Learning using Activation Memory Reduction
Amin Yoosefi, Hamid Mousavi, Masoud Daneshtalab and Mehdi Kargahi
- Task Classification for Optimal Offloading and Resource Allocation in Vehicular Edge Computing
Memona Mubashir, Rizwan Ahmad, Ahsan Saadat, Saqib Rasool Chaudhry, Adnan K. Kiani and Muhammad Mahtab Alam
|
| 12:00 -1:30 PM |
Lunch Break |
| 1:30-3:30 PM |
Technical Session 8 |
Chair: Omer Melih Gul and Alar Kuusik |
- Grey Wolf Optimizer-based Task Scheduling for IoT-based Applications in the Edge Computing
Aram Satouf, Ali Hamidoglu, Omer Melih Gul and Alar Kuusik
- Predictive Machine Learning Analysis for Reliable D2D Discovery in 6G Critical Communications
Ali Masood, Muhammad Mahtab Alam and Yannick Le Moullec
- Blockchain-Enabled Renewable Energy Traceability with a Crypto-based Arbitrage Pricing Model
Victor Kebande and Jianguo Ding
- Trusted Federated Learning Framework for Attack Detection in Edge Industrial Internet of Things
Mahendra Pratap Singh, Ashutosh Anand, Aashish Prateek Janaswamy, Sudarshan Sundarrajan and Maanak Gupta
|
| 4:00-4:30 PM |
Coffee Break |
| 4:30-5:30 PM |
Technical Session 9 |
Chair: Luke Jakielaszek and Sharief Abdel-Razeq |
- Trace-based Performance Analysis for Deep Learning in Edge Container Environments
Soyeon Park and Hyokyung Bahn
- Optical Character Recognition Using Optimized Convolutional Networks
Anum Nawaz, Muhammad Irfan and Tomi Westerlund
|
