Particle Swarm Optimization Steers Client Selection in Decentralized Federated Learning
A new decentralized federated learning framework uses particle swarm optimization to dynamically select clients, reporting 76.2% accuracy on CIFAR-10 under ...
A new decentralized federated learning framework uses particle swarm optimization to dynamically select clients, reporting 76.2% accuracy on CIFAR-10 under ...
Researchers report an entropy-driven adaptive spatial modeling framework that classifies drought, salinity, heat and nutrient-deficiency stress in grapevine leaf images ...
A hybrid RVFL-HGSO machine learning model achieved a coefficient of determination (R2) of 98.95 percent in predicting the surface roughness ...
A hybrid multi-agent modeling framework jointly optimizes capacity pricing and ancillary-service dispatch, improving matching, cost, and reserve outcomes in simulated ...
A new IPSO-Stacking integrated learning method identifies fluctuation outliers in power grid load data, with reported coverage performance stable above ...
A Gaussian process surrogate model trained on 346 fixed-bed adsorption experiments was coupled with genetic and swarm-based optimization to balance ...
A two-way fluid–structure interaction simulation coupled with a multi-objective particle swarm algorithm produced a small wind turbine blade with 12.5% ...
A simulation-only study on a UR5 robot arm shows Gaussian Process Regression most accurately predicts joint torques, while optimized adaptive ...
A PSO-optimized XGBoost model predicted the compressive strength, elastic energy index and impact energy index of gangue-cemented backfill materials with ...
TBLPSO achieved reported accuracy of 96.1% on a European dental implant dataset by combining clinical subgrouping, expert-informed optimization and selective ...
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© 2025 Scienmag - Science Magazine