Federated learning for generalization, robustness, fairness: A survey and benchmark
Federated learning has emerged as a promising paradigm for privacy-preserving
collaboration among different parties. Recently, with the popularity of federated learning, an …
collaboration among different parties. Recently, with the popularity of federated learning, an …
A survey of trustworthy federated learning: Issues, solutions, and challenges
Trustworthy artificial intelligence (TAI) has proven invaluable in curbing potential negative
repercussions tied to AI applications. Within the TAI spectrum, federated learning (FL) …
repercussions tied to AI applications. Within the TAI spectrum, federated learning (FL) …
A Systematic Review of Generalization Research in Medical Image Classification
S Matta, M Lamard, P Zhang, AL Guilcher… - arxiv preprint arxiv …, 2024 - arxiv.org
Numerous Deep Learning (DL) classification models have been developed for a large
spectrum of medical image analysis applications, which promises to reshape various facets …
spectrum of medical image analysis applications, which promises to reshape various facets …
Exploring the potential of distributed computing continuum systems
Computing paradigms have evolved significantly in recent decades, moving from large room-
sized resources (processors and memory) to incredibly small computing nodes. Recently …
sized resources (processors and memory) to incredibly small computing nodes. Recently …
[HTML][HTML] A systematic review of generalization research in medical image classification
S Matta, M Lamard, P Zhang, A Le Guilcher… - Computers in biology …, 2024 - Elsevier
Abstract Numerous Deep Learning (DL) classification models have been developed for a
large spectrum of medical image analysis applications, which promises to reshape various …
large spectrum of medical image analysis applications, which promises to reshape various …
Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
Abstract The Three Gorges Dam's operation has been recognized as a contributing factor to
slope instability and the reactivation of pre-existing deep-seated landslides in the region …
slope instability and the reactivation of pre-existing deep-seated landslides in the region …
Stochastic modeling for intelligent software-defined vehicular networks: A survey
Digital twins and the Internet of Things (IoT) have gained significant research attention in
recent years due to their potential advantages in various domains, and vehicular ad hoc …
recent years due to their potential advantages in various domains, and vehicular ad hoc …
Independence and unity: Unseen domain segmentation based on federated learning
G Yuan, J Li, Y Huang, Z **e, J Pang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The distinct attributes of Internet of Things (IoT) devices, including the disparity between
training and testing data distributions and limited availability of training data, pose …
training and testing data distributions and limited availability of training data, pose …
Federated KNN-based privacy-preserving position recommendation for indoor consumer applications
Indoor positioning (IP) has attracted significant demand in diverse smart indoor consumer
electronics applications like domotics appliances, automated energy management, patient …
electronics applications like domotics appliances, automated energy management, patient …
Domain generalization for medical image analysis: A survey
Medical Image Analysis (MedIA) has become an essential tool in medicine and healthcare,
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …