2 papers
cs.LG2026
An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks
Mohsen Tajgardan, Atena Shiranzaei, Mahdi Rabbani +2
Federated learning (FL) is an effective paradigm for distributed environments such as the Internet of Things (IoT), where data from diverse devices with varying functionalities rem…
cs.CV2025
Context in object detection: a systematic literature review
Mahtab Jamali, Paul Davidsson, Reza Khoshkangini +2
Context is an important factor in computer vision as it offers valuable information to clarify and analyze visual data. Utilizing the contextual information inherent in an image or…