Uncertainty-aware federated temporal learning with explainable LLM-based coaching for privacy-preserving wearable health systems. [PDF]
Chembakassery D, Nair HR, Prassanna J.
europepmc +1 more source
What Explains Growing Gender and Racial Education Gaps?
ABSTRACT We study why US college graduation gaps by gender and race widened across cohorts. We develop a dynamic life‐cycle model with endogenous education, labor supply, marriage, fertility, and welfare participation. Preferences are fixed across cohorts and race/ethnic groups; changes arise from family background, labor‐market opportunities, and ...
Zvi Eckstein +2 more
wiley +1 more source
Asynchronous proximal federated aggregation for heterogeneous healthcare networks. [PDF]
Sreelakshmi M, Delhibabu R.
europepmc +1 more source
The Causal Effect of Parents' Education on Children's Earnings
ABSTRACT We develop and estimate a model of endogenous schooling and earnings to isolate the causal effect of parents' education on children's outcomes. Identification uses earnings differences among children with equal schooling whose parents have different schooling.
Sang Yoon (Tim) Lee +2 more
wiley +1 more source
FedAK: a semi-supervised one-shot framework for heterogeneous federated learning via feature-level attention-based knowledge distillation. [PDF]
Salman H +5 more
europepmc +1 more source
A spatiotemporal analysis of Salmonella bacteraemia in Queensland, 2010–2019
Abstract Background Salmonellosis contributes to a significant burden on global healthcare systems. The impact of this foodborne bacterium is more pronounced when the infection is invasive, leading to bacteraemia and sepsis. Studies on invasive salmonellosis are few, and there is an urgent need to understand the spatial distribution of bacteraemia and ...
Naveen Manchal +3 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
Unconditional Variance Estimation Under Complex Surveys
Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley +1 more source
Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring. [PDF]
Khan UH +5 more
europepmc +1 more source

