Detailed Program

Room: Baltic ala

Time zone: Estonia Time (GMT+3)



Monday, September 18th 2023
08:00-08:45 AM
Registration
08:45-09:00 AM
Opening Session
09:00-10:00 AM
Keynote 1: Walid Saad
Title: Unlocking the Wireless Metaverse with 6G and Artificial Intelligence (AI)
Chair: Moayad Aloqaily
10:00 -10:30 AM
Coffee Break
10:30 AM-12:30 PM
Technical Session 1
Chair: Yiannis Verginadis and Chinmaya Dehury
  • 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
  • Trace-based Performance Analysis for Deep Learning in Edge Container Environments
    Soyeon Park and Hyokyung Bahn
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
7:00-8:30 PM
Welcome Reception
Location: The University of Tartu

Tuesday, September 19th 2023
09:00-09:30 AM
Registration
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: Vinit Hegiste and Feras Awaysheh
  • 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: Louis Leconte and Feras Awaysheh
  • 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: Antonius Restaurant: Ülikooli 15, 51003 Tartu

Wednesday, September 20th 2023
09:00-09:30 AM
Registration
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: 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
  • 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
12:30 -1:30 PM
Lunch Break
1:30-3:30 PM
Technical Session 8
Chair: Ivo Müürsepp
  • CIEAI 2023 Workshop Keynote: Trustworthy AI on Massive IoT connectivity in 5G-networks
    Dr. Iftikhar Ahmad, Head of R&D Central Function of TietoEvry, Finland
  • Enhanced Decision Mechanism for RAN Subslicing in Management Closed Control Loop
    Marika Kulmar, Ivo Müürsepp and Muhammad Mahtab Alam.
  • 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
3:30-4:00 PM
Coffee Break
2:00-4:00 PM
Technical Session 9, Special Open Technical Session (ROOM FINLAND)
Chair: Alar Kuusik
  • IT Academy program 2018-2023: Internet of Intelligent Things - project outcomes
    Alar Kuusik
5:300-6:00 PM
Closing Notes