953 citations
- Technical University of MunichDE22 papers
- Huawei German Research CenterDE19 papers
- Technische Universität BerlinDE8 papers
- National and Kapodistrian University of AthensGR4 papers
- Telefonica Research and DevelopmentES4 papers
- AIT Austrian Institute of Technology GmbHAT3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- ETH ZurichCH3 papers
- Huawei Technologies (China)CN3 papers
- Universidad Politécnica de MadridES3 papers
- Università degli studi di Cassino e del Lazio MeridionaleIT3 papers
- Universitat Autònoma de BarcelonaES3 papers
7 papers · 1 filter
Foundation Models for Generalizable Semantic and Goal-Oriented Communication
Boliang Liu, Wint Yi Poe, Riccardo Trivisonno +1
Semantic and goal-oriented communication is increasingly studied for 6G, but generalization beyond seen data remains a key weakness under tight rate budgets. Many existing systems…
Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias
Koffi Ismael Ouattara, Ioannis Krontiris, Theo Dimitrakos +1
As AI systems increasingly rely on training data, assessing dataset trustworthiness has become critical, particularly for properties like fairness or bias that emerge at the datase…
Quantifying Calibration Error in Neural Networks Through Evidence-Based Theory
Koffi Ismael Ouattara, Ioannis Krontiris, Theo Dimitrakos +1
Trustworthiness in neural networks is crucial for their deployment in critical applications, where reliability, confidence, and uncertainty play pivotal roles in decision-making. T…
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks
Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas +5
Progressing towards a new era of Artificial Intelligence (AI) - enabled wireless networks, concerns regarding the environmental impact of AI have been raised both in industry and a…
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey
Kilian Pfeiffer, Martin Rapp, Ramin Khalili +1
With an increasing number of smart devices like internet of things (IoT) devices deployed in the field, offloadingtraining of neural networks (NNs) to a central server becomes more…
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker +2
The detection of anomalies is essential mining task for the security and reliability in computer systems. Logs are a common and major data source for anomaly detection methods in a…