3 papers
cs.CV2026
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
Nivea Roy, Son Tran, Atul Sajjanhar +4
Laryngeal cancer imaging research lacks standardised public datasets to enable reproducible deep learning (DL) model development. We present LaryngealCT, a curated benchmark of 1,0…
cs.DC2025
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
Jun Bai, Yiliao Song, Di Wu +6
One-Shot Federated Learning (OSFL) restricts communication between the server and clients to a single round, significantly reducing communication costs and minimizing privacy leaka…
cs.CR2024
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection
R G Gayathri, Atul Sajjanhar, Md Palash Uddin +1
Insider threats usually occur from within the workplace, where the attacker is an entity closely associated with the organization. The sequence of actions the entities take on the…