Results 131 to 140 of about 14,306 (259)
Intrusion detection method for IoT in heterogeneous environment
In order to address the issue of inadequate training efficiency and subpar model performance encountered by Internet of things (IoT) devices when dealing with resource constraints and non-independent and identically distributed (Non-IID) data, a novel ...
LIU Jing, MU Zelin, LAI Yingxu
doaj +2 more sources
FedPLC: Federated Learning with Dynamic Cluster Adaptation for Concept Drift on Non-IID Data. [PDF]
Zhou Q +6 more
europepmc +1 more source
ABSTRACT In this paper, the correlation learning estimation and adaptive reduction (CLEAR) of interference, an adaptive, blind and transparent interference compensation method applied in a wideband dual‐channel receiver, is studied for a pair of independent satellite multi‐connectivity links, using the same carrier frequency and signal bandwidth in use
Svilen Dimitrov
wiley +1 more source
A new adaptive federated learning approach for privacy preserving UAV anomaly detection under non-IID distributions. [PDF]
Bithi M, Masud ME, Hossain MA.
europepmc +1 more source
ABSTRACT This study examines the dynamic interactions between climate risk, oil price uncertainty (OPU), and technological innovation in shaping Sustainable Development Goals (SDGs) related to Sustainable Cities and Communities (SCC) across Gulf Cooperation Council (GCC) countries from 2005 to 2024. Using a panel Time‐Varying Interactive Fixed Effects (
Mohamed Sami Ben Ali +2 more
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
ABSTRACT Mountain areas are hotspots of high natural and cultural value, but they face sustainability challenges. This research offers a quantitative cross‐case analysis of 21 case studies from mountain regions across 14 European countries, examining how local stakeholders perceive the contribution of mountain value chains to sustainable development ...
María Mar Delgado‐Serrano +2 more
wiley +1 more source
Federated Learning for Human Pose Estimation on Non-IID Data via Gradient Coordination. [PDF]
Ni P, Xiang D, Jiang D, Sun J, Cui J.
europepmc +1 more source
Chromatic PAC-Bayes Bounds for Non-IID Data.
Pac-Bayes bounds are among the most accurate generalization bounds for classifiers learned with \iid data, and it is particularly so for margin classifiers. However, there are many practical cases where the training data show some dependencies and where the traditional \iid assumption does not apply.
Ralaivola, Liva +2 more
openaire +2 more sources
Tracking SDG‐7 in China, India, and Japan
ABSTRACT This study examines the impact of clean energy consumption on environmental quality, supporting the UN Sustainable Development Goal (SDG) 7, which aims to ensure access to clean, affordable energy for all. The Auto‐Regressive Distributed Lag (ARDL) model is used for Japan, and the Fourier ARDL for China and India, followed by a Granger ...
Arvind Goswami +3 more
wiley +1 more source

