Audited reproducibility package for a five-seed comparison of FedAvg, FedProx,and SCAFFOLD under communication stress using UCI ElectricityLoadDiagrams20112014and Ausgrid Solar Home Electricity Data. The archive contains sanitized run-level outputs for 300 unique scientificexecutions, independently verifiable downstrea...
Manuel José Cabral dos Santos Reis· Zenodo (CERN European Organi...· 0 citations
Research artefact for the study FedStaP: Shared Feature Statistics and Prior-Calibrated Training for Non-IID Federated Intrusion Detection in IoT Networks. Contents. The full implementation (Hydra configurations, federated simulator, the proposed FedStaP method, ten global-model baselines, a personalised reference and...
Ahmed Fahad, Mohammed F. Alomari, Yazan Aljeroudi· Zenodo (CERN European Organi...· 0 citations
Abstract EN This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), Frenc...
Xavier Pillet· Zenodo (CERN European Organi...· 0 citations
The segmentation of spectral domain optical coherence tomography (SD-OCT) images for diabetic macular edema (DME) using deep learning technology has key challenges such as data privacy, computational cost, and information uncertainty. To address these, we present an uncertainty-informed neural network within sequential...
Qiong Chen, Yanying Chen, Jinghui Wang et al.· Scientific Reports· 0 citations
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Digital soil mapping has produced the first continent-wide baseline estimates of soil properties in Africa, yet existing soil information systems remain fragmented, poorly standardized, and largely confined to static offline spatial prediction. Their ability to capture near-real-time soil conditions or provide timely,...
Audited reproducibility package for a five-seed comparison of FedAvg, FedProx,and SCAFFOLD under communication stress using UCI ElectricityLoadDiagrams20112014and Ausgrid Solar Home Electricity Data. The archive contains sanitized run-level outputs for 300 unique scientificexecutions, independently verifiable downstrea...
Manuel José Cabral dos Santos Reis· Zenodo (CERN European Organi...· 0 citations
This paper presents an Adaptive Intrusion Detection System (AdaptIDS) built on a novel adaptive cluster-centred particle swarm optimisation (AMCMPSO) algorithm, the first centre-of-mass-guided adaptive PSO applied to IDS feature selection.
Rami Ahmad· Applied Computing and Inform...· 0 citations
"This dataset provides network traffic and physical sensor measurements intended to support research on cybersecurity, anomaly detection, machine learning, and multimodal security analysis in Cyber-Physical Systems (CPS). The network component contains 528,856 observations characterized by flow identifiers, source and...
A reproducible research framework for vertical federated learning on heterogeneous tabular data with explicit privacy boundaries, provenance and communication auditing.
Saurav Singla· Zenodo (CERN European Organi...· 0 citations
Each technology in the big data environment has its own strengths and weaknesses in terms of privacy protection; currently, no single technology can simultaneously meet all requirements, and there is a fundamental core conflict between privacy protection and data utility.
Zhen-Yuan Zhou· Applied and Computational En...· 0 citations
This paper proposes a selection strategy according to data heterogeneity, bandwidth and system constraints, and recommends the unified reporting of accuracy, communication volume, communication rounds, time, and energy consumption.
Chang Ma· Applied and Computational En...· 0 citations
A re-view is systematic, analyzing the use of artificial intelligence (AI) methodologies in ICS cybersecurity from the year 2018 to 2024, suggesting that graph-based and hybrid methods yield the best detection accuracy, whereas classical methods still seem to be the most suitable for resource-constrained applications.
Olujoke Mubo Oni, J. E. Efiong, Abiodun Akinwale et al.· Journal of Information and C...· 0 citations
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
