8 papers
Defining Decentralization: An Ontological Perspective
Jakub Kacper Szeląg, Aydin Abadi, Mohammad Naseri
Decentralization as a concept in computer science has existed for over half a century. Despite its fundamental role across domains such as security, distributed computing, artifici…
Chained Attacks on Drone-Based Federated Learning: From Network Disruption to Device Impersonation
Suleiman Muhammad Sabo, Hamed Alkharsh, Peilin Li +4
Edge Intelligence (EI) has emerged as a transformative model for mission-critical unmanned platforms, such as drone swarms, by enabling collaborative model training at the network…
Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction
Wenjie Ding, Yi Sin Lin, Jiale Liu +8
Federated split learning (FSL) enables collaborative training across bandwidth-constrained IoT devices, but repeated activation and gradient exchange creates a communication bot-tl…
Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices
Kaan Arda Akyol, Jakub Kacper SzelÄ g, Aydin Abadi +9
Continuous electrocardiography (ECG) monitoring could surface rhythm abnormalities before they escalate into cardiovascular events. However, a deployable system must satisfy three…
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models
Alireza Aghabagherloo, Aydin Abadi, Sumanta Sarkar +2
The accuracy and robustness of machine learning models against adversarial attacks are significantly influenced by factors such as training data quality, model architecture, the tr…
Oblivis: A Framework for Delegated and Efficient Oblivious Transfer
Aydin Abadi, Yvo Desmedt
As database deployments shift toward cloud platforms and edge devices, thin clients need to securely retrieve sensitive records without leaking their query intent or metadata to th…