Optimization of cross-institutional medical federated learning framework driven by confidential computing. [PDF]
Xu F, Wei X, Zhao Z, Sun P.
europepmc +1 more source
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated ...
X Fan (7674161) +4 more
core
Beyond Inflation: The Adequacy of Out‐of‐Home Care Allowances in Australia
ABSTRACT Research Question This study examines whether home‐based (foster, kinship or relative) out‐of‐home care (OOHC) allowances in New South Wales, Australia, adequately reflect the contemporary costs of caring for children. Research Findings We find that real median expenditure among families with children increased by 23%–30% between 2006 and 2022,
Ou Yang +4 more
wiley +1 more source
Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach. [PDF]
Hangsun Y +4 more
europepmc +1 more source
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley +1 more source
A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection. [PDF]
Zhu Y +6 more
europepmc +1 more source
The importance of considering regimes in long‐term asset allocation to real estate
Abstract We investigate the long‐term, regime‐dependent asset allocation of an investor's wealth in a mixed‐asset portfolio that includes publicly traded real estate. We show that augmenting standard VAR models with Markov‐switching features not only improves predictive power for asset returns but also introduces economically meaningful horizon effects
Massimo Guidolin +2 more
wiley +1 more source
Data-driven predictive maintenance of induction motors using self-supervised and federated learning on noisy current and vibration signals. [PDF]
Gopalakrishnan T +6 more
europepmc +1 more source
Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley +1 more source
Privacy-preserving federated learning with optimized ensemble weighting and knowledge distillation for COVID-19 detection from non-IID medical imaging data. [PDF]
Annan R +4 more
europepmc +1 more source

