Adaptive Multi-Model Hierarchical Federated Learning for Robust IoT Intrusion Detection. [PDF]
Latif S, Djenouri D.
europepmc +1 more source
Asymptotic standard errors for reliability coefficients in item response theory
Abstract In a recent review, Liu et al. (Psychological Methods, 2025b) classified reliability coefficients into two types: classical test theory (CTT) reliability and proportional reduction in mean squared error (PRMSE). This article focuses on quantifying the sampling variability of these coefficients under item response theory (IRT) models.
Youjin Sung, Yang Liu
wiley +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
Federated Learning Based on Fuzzy Fusion Rules for Chemical Production Process Fault Diagnosis. [PDF]
Xu Y, Yang W, Du S, Zhang M.
europepmc +1 more source
Calibrating Bayesian inference
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
wiley +1 more source
HybridTrust: on-device federated learning with crypto-agile security for legacy and quantum-safe medical devices. [PDF]
Khan UH +5 more
europepmc +1 more source
On Liquidity Spillovers in Sovereign Bond Spot and Futures Markets During the COVID‐19 Outbreak
ABSTRACT We examine liquidity spillovers within and between the sovereign bond spot and futures markets in the euro area, covering the periods before, during, and after the COVID‐19‐induced dash for cash episode. Our results indicate that while liquidity spillovers were significantly amplified during the height of the crisis, the magnitude of these ...
Vassilios G. Papavassiliou, Fan Dora Xia
wiley +1 more source
Experimentally Validated Quantum-Secure Federated Learning over a Multi-user Quantum Network. [PDF]
Liu ZP +8 more
europepmc +1 more source
Abstract Background and Purpose Doxorubicin (DOX) is a highly effective anthracycline, whose clinical application for cancer is limited by cardiotoxicity. The mechanisms underlying doxorubicin‐induced toxic cardiomyopathy (DICM) involve electrophysiological remodelling with intracellular Na+ overload because of increased late INa and hyperactivation of
Anna‐Lena Feder +7 more
wiley +1 more source
Communication-Efficient Federated Learning with Dual-Sided Sparse Aggregation for Edge Sensing Systems. [PDF]
Zhao H, Li J.
europepmc +1 more source

