6 papers
SAGE: Optimal-Stopping Peer Selection for Decentralised Federated Learning
Ke Xiao, Qiyuan Wang, Christos Anagnostopoulos
Decentralised federated learning replaces server aggregation with peer-to-peer model exchange, making collaborator selection a local decision under uncertainty. Fixed probe budgets…
Multi-Modal Robust Enhancement for Coastal Water Segmentation: A Systematic HSV-Guided Framework
Zhen Tian, Christos Anagnostopoulos, Qiyuan Wang +1
Coastal water segmentation from satellite imagery presents unique challenges due to complex spectral characteristics and irregular boundary patterns. Traditional RGB-based approach…
A Risk-aware Spatial-temporal Trajectory Planning Framework for Autonomous Vehicles Using QP-MPC and Dynamic Hazard Fields
Zhen Tian, Zhihao Lin, Dezong Zhao +5
Trajectory planning is a critical component in ensuring the safety, stability, and efficiency of autonomous vehicles. While existing trajectory planning methods have achieved progr…
FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models
Qianyu Long, Qiyuan Wang, Christos Anagnostopoulos +1
Federated Learning (FL), as a distributed learning paradigm, trains models over distributed clients' data. FL is particularly beneficial for distributed training of Diffusion Model…
Distributed Log-driven Anomaly Detection System based on Evolving Decision Making
Zhuoran Tan, Qiyuan Wang, Christos Anagnostopoulos +3
Effective anomaly detection from logs is crucial for enhancing cybersecurity defenses by enabling the early identification of threats. Despite advances in anomaly detection, existi…
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme
Qianyu Long, Qiyuan Wang, Christos Anagnostopoulos +1
Decentralized Federated Learning (DFL) has become popular due to its robustness and avoidance of centralized coordination. In this paradigm, clients actively engage in training by…