4 papers
Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification
Athanasios Papanikolaou, Athanasios Tziouvaras, Pavlos Stoikos +6
Early detection of plant diseases is critical for improving crop productivity, while it also facilitates the foundations of precision agriculture. Recent advances in distributed de…
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
Maximilian Forstenhäusler, Daniel Külzer, Christos Anagnostopoulos +2
Understanding user intent is essential for situational and context-aware decision-making. Motivated by a real-world scenario, this work addresses intent predictions of smart device…
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…
Unified Semantic Log Parsing and Causal Graph Construction for Attack Attribution
Zhuoran Tan, Christos Anagnostopoulos, Shameem P. Parambath +1
Multi-source logs provide a comprehensive overview of ongoing system activities, allowing for in-depth analysis to detect potential threats. A practical approach for threat detecti…