Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID8th FMEC 2023: Tartu, Estonia
- Eighth International Conference on Fog and Mobile Edge Computing, FMEC 2023, Tartu, Estonia, September 18-20, 2023. IEEE 2023, ISBN 979-8-3503-1697-1
- Walid Saad:
Keynote Speech 1 Unlocking the Wireless Metaverse with 6G and Artificial Intelligence (AI). 1-2 - Mérouane Debbah:
Large Language Models for Telecom. 3-4 - Ian F. Akyildiz:
Keynote Speech 3 NETWORKING 2030: Metaverse, Extended Reality, Hologram Type and Mulsemedia Communication Challenges for 6G/Beyond Wireless Systems. 5 - Tania Lorido-Botran:
Keynote Speech 4 Metaverse, Metastability and Beyond. 6 - Vinit Hegiste, Tatjana Legler, Martin Ruskowski:
Federated Ensemble YOLOv5 - A Better Generalized Object Detection Algorithm. 7-14 - Memona Mubashir, Rizwan Ahmad, Ahsan Saadat, Saqib Rasool Chaudhry, Adnan K. Kiani, Muhammad Mahtab Alam:
Task Classification for Optimal Offloading and Resource Allocation in Vehicular Edge Computing. 15-21 - Florian Van Daalen
, Lianne Ippel, Andre Dekker, Iñigo Bermejo:
Federated Bayesian Network Ensembles. 22-33 - Victor R. Kebande, Jianguo Ding:
Blockchain-Enabled Renewable Energy Traceability with a Crypto-based Arbitrage Pricing Model. 34-41 - Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, Faten Hamad, Sawsan Al-Zubi, Mohammad Aladwan:
An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks. 42-51 - Aram Satouf, Ali Hamidoglu, Omer Melih Gul, Alar Kuusik:
Grey Wolf Optimizer-based Task Scheduling for IoT-based Applications in the Edge Computing. 52-57 - Ali Masood, Muhammad Mahtab Alam, Yannick Le Moullec:
Predictive Machine Learning Analysis for Reliable D2D Discovery in 6G Critical Communications. 58-63 - Mahendra Pratap Singh, Ashutosh Anand, Lakshmi Aashish Prateek Janaswamy, Sudarshan Sundarrajan, Maanak Gupta:
Trusted Federated Learning Framework for Attack Detection in Edge Industrial Internet of Things. 64-71 - Fatima Ayoub, Rudi C. Villing:
Evaluating Distributed Computation Offloading Scalability for Multiple Robots. 72-79 - Kateryna Mishchenko, Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei:
Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study. 80-86 - Soyeon Park, Hyokyung Bahn:
Trace-Based Performance Analysis for Deep Learning in Edge Container Environments. 87-92 - Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis:
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks. 93-100 - Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs. 101-106 - Anum Nawaz, Muhammad Irfan, Tomi Westerlund:
Optical Character Recognition Using Optimized Convolutional Networks*. 107-114 - Zeeshan Hameed, Hamid R. Barzegar, Nabil El Ioini, Claus Pahl:
Robust-DSN - Performance and Fault Tolerance of a Distributed Storage Network. 115-122 - Ala Mughaid, Ibrahim Obeidat, Andaleeb Shdaifat, Razan Alhayjna, Shadi AlZu'bi:
Modelling And Simulation For Detecting Vulnerabilities And Security Threats Of Smart Contracts Using Machine Learning. 123-127 - Mehreen Tahir, Muhammad Intizar Ali:
Enabling On-Demand Crowdsourced Federated Learning Over IoT. 128-134 - Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis:
Federated Learning for Early Dropout Prediction on Healthy Ageing Applications. 135-142 - Mohamed Fazil Hussain, Malek Athamnah, Salwa Sayeedul Hasan, Hasan Rauf:
Analyzing Application Response Time Lag: in Mobile Edge and Fog Computing Environments. 143-150 - Vinit Hegiste, Tatjana Legler, Kirill Fridman, Martin Ruskowski:
Federated Object Detection for Quality Inspection in Shared Production. 151-158 - Michael Zeng, Maximilian Rudack, Mario Moser, Sebastian Ulrich, Aymen Gannouni, Anas Abdelrazeq, Andreas Bührig-Polaczek, Robert H. Schmitt:
IESF: Interval Event Streaming Format for the Data Lake of Production. 159-166 - Muder Almiani, Alia Abu Ghazleh, Ala Mughaid, Yaser Jararweh:
Botnet Detection Using Label Propagation and Batch K-means Clustering for Securing IoT Networks. 167-174 - Marika Kulmar, Ivo Müürsepp, Muhammad Mahtab Alam:
Enhanced Decision Mechanism for RAN Subslicing in Management Closed Control Loop. 175-181 - William Lindskog, Christian Prehofer, Sarandeep Singh:
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data. 182-189 - Ivo Müürsepp, Muhammad Mahtab Alam:
Automatic NLOS Classification from Virtual 3D City Models. 190-195 - Connor Imes, David W. King, John Paul Walters:
Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions. 196-203 - Mahmoud Nazzal, Nura Aljaafari, Ahmad H. Sawalmeh, Abdallah Khreishah, Muhammad Anan, Abdulelah Abdallah Algosaibi, Mohammed Alnaeem, Adel Aldalbahi, Abdulaziz Alhumam, Conrado P. Vizcarra, Shadan Alhamed:
Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification. 204-209 - Amin Yoosefi, Hamid Mousavi, Masoud Daneshtalab, Mehdi Kargahi:
Efficient On-device Transfer Learning using Activation Memory Reduction. 210-215 - Ahmad Khalil, Aidmar Wainakh, Ephraim Zimmer, Javier Parra-Arnau, Antonio Fernández Anta, Tobias Meuser, Ralf Steinmetz:
Label-Aware Aggregation for Improved Federated Learning. 216-223 - Sai Praneeth Karimireddy, Narasimha Raghavan Veeraragavan, Severin Elvatun, Jan F. Nygård:
Federated Learning Showdown: The Comparative Analysis of Federated Learning Frameworks. 224-231 - Michael Dötzer, Yixin Mao, Klaus Diepold:
Communication Topologies for Decentralized Federated Learning. 232-238 - William Lindskog, Christian Prehofer:
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks. 239-246 - Louis Leconte, Van Minh Nguyen, Eric Moulines:
Federated Boolean Neural Networks Learning. 247-253 - Yiannis Verginadis, Christos-Alexandros Sarros, Mario Reyes de los Mozos, Simeon Veloudis, Radoslaw Piliszek, Nicolas Kourtellis, Geir Horn:
NebulOuS: A Meta-Operating System with Cloud Continuum Brokerage Capabilities. 254-261 - Qiuxian Chen, Yizheng Tao:
An Investigation of Recent Backdoor Attacks and Defenses in Federated Learning. 262-269 - Fahed Alkhabbas, Sadi Alawadi, Majed Ayyad, Romina Spalazzese, Paul Davidsson:
ART4FL: An Agent-Based Architectural Approach for Trustworthy Federated Learning in the IoT. 270-275 - Raphael Schermann, Simone Bussa, Rainer Urian, Christian Steger:
Zero- Touch Privacy Preserving Provisioning in an Edge-, Fog-, and Cloud Environment. 276-283 - Pietro d'Agostino, Massimo Violante, Gianpaolo Macario:
An Embedded Low-Cost Solution for a Fog Computing Device on the Internet of Things. 284-291 - Shadi AlZu'bi, Samar Hendawi, Islam AlTalahin, Muder Almiani, Ala Mughaid:
Securing the Digital Fortress: Unveiling the Modern Battleground for Sustainable OSs and the Digital Threatscape. 292-297
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-26 18:42 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
