Federated Learning for Intelligent
Partha Pratim Ray
openalex +1 more source
Digital Rights Activism in Multilevel Governance
ABSTRACT Multilevel governance (MLG) without a clear hierarchical structure can create power imbalances among various actors, particularly in settings with overlapping jurisdictions and policy areas. This dynamic is especially pronounced in Internet governance, which faces a complex interplay of domestic laws, state interdependence, and heightened ...
Alison Harcourt
wiley +1 more source
Explainable AI Approaches in Federated Learning: Systematic Review. [PDF]
Tunduny T, Shibwabo B.
europepmc +1 more source
Abstract The artificial intelligence (AI) revolution is upon us. It will inevitably form a central component of epilepsy workflows and patient advocacy. Therefore, it behooves us as health care providers to ride the crest of this wave and guide its direction for the benefit of all people with epilepsy.
Colin B. Josephson +13 more
wiley +1 more source
Federated learning frameworks: quality and interoperability for biomedical research. [PDF]
Chavero-Diez M +4 more
europepmc +1 more source
Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition
Nguyen Anh Tu +5 more
openalex +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Federated Learning Under Evolving Distribution Shifts. [PDF]
Tan X +7 more
europepmc +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
A federated learning with Large-Small Kernel Attention Network for image classification. [PDF]
Liu T, Xie J, Dong H.
europepmc +1 more source

