This review synthesizes the research literature relevant to building such applications, with specific attention to the cross-platform reality in which much of the mobile ecosystem, prominently React Native applications, is actually built, and identifies directions for research and practice.
Serif Oyindamola Oyesiji, Kingsley Chinazaekpere Ndupu, Chukwudera Obumneke Anunagba et al.· Journal of Engineering Resea...· 0 citations
Reproducibility package for C-ProVFL, a selective safe-output controller for backdoor attacks in vertical federated learning. The archive contains source notebooks, the immutable submitted-configuration manifest, corrected split and attack manifests, frozen-policy records, row-level results for 768 configurations, matc...
The increasing penetration of renewable energy sources introduces significant variability and uncertainty into grid-connected microgrids (MGs), affecting voltage stability, frequency regulation, power quality, fault ride-through capability, and operational resilience at the Point of Common Coupling (PCC). These challen...
Nicholas Nyaika, Cosmas Mwikirize, Andrew Katumba (PhD)3· Zenodo (CERN European Organi...· 0 citations
ReSIDS / ereno-Adaptativo is an intrusion-detection pipeline that unifies centralized, federated and gossip learning in a single run with round-by-round mode switching, built on Flower, scikit-learn and XGBoost. Version 2 adds: a distributed, automatic FL↔GL switch driven by decentralized failure detection (fail-fast F...
Cássio Luís Batista, Paulo Coelho, Silvio E. Quincozes et al.· Zenodo (CERN European Organi...· 0 citations
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Decentralized learning networks based on blockchain are based on strongly incentivized models and token economics to promote collaboration. Properly structured incentive mechanisms can be used to ensure high rates of participation, data sharing, and sustained engagement in the long term, whereas token economics provide...
The TaTFedLA‐based malware detection achieves the accuracy, Mean Average Precision, False Positive Rate (FPR), loss, Mean Square Error (MSE), Root MSE, bandwidth, energy, precision, recall and F‐measure, of 94.99%.
R. Bhavani, Veeramalai Sankaradass, I. V et al.· International Journal of Net...· 0 citations
Learning analytics platforms increasingly use behavioral traces to model engagement, navigation, and self-directed learning dynamics in virtual learning environments (VLEs). However, most current approaches prioritize predictive accuracy, centralize sensitive student records, and rarely analyze the stability of explora...
Rommel Gutierrez, Aracely Mera-Navarrete, Ana Cristina Villegas et al.· Frontiers in Artificial Inte...· 0 citations
Reference implementation of SWIFT, a wait-free decentralized federated learning algorithm in which clients never block on one another: each broadcasts its model to its neighbours and averages in whatever has arrived. SWIFT is the first asynchronous decentralized federated learning algorithm to obtain the optimal O(1/sq...
Marco Bornstein, Tahseen Rabbani, Evan Wang et al.· Zenodo (CERN European Organi...· 0 citations
Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs), renewable energy storage systems (ESSs), and smart grids, but accurate degradation and remaining useful life (RUL) prediction remains challenging under sparse data and distributed data-storage conditions. This study proposes a Federated Physics-In...
Ali M. Eltamaly, S. Al-Senaidi· Electronics· 0 citations
Healthcare information technology (IT) infrastructure has grown substantially in complexity alongside the accelerating adoption of electronic health records, clinical decision support systems, telehealth platforms, and patient-facing digital services. Managing this infrastructure reliably under high availability expect...
Nayan Kumar Sureshbhai Patel· Journal of Information Syste...· 0 citations
This research introduces a decentralized optimization framework for improved operational performance of 11kV, 32-bus Nsukka Radial Distribution Network (RDN), using a privacy-preserving decentralized optimization framework known as Federated Learning (FL).
G. Okwe, Ijeoma Uneze, Isidore U. Uju et al.· International journal of rec...· 0 citations
This dataset package is associated with the study “HAPV-FEL: Historical Consensus Verification and Recoverable Trust for Privacy-Preserving Federated Transaction Risk Detection.” It contains structured CSV representations corresponding to the IBM AML and SAML-D datasets used for cross-institutional transaction risk det...
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.
