LoRA-based Parameter-Efficient LLMs for Continuous Learning in Edge-based Malware Detection
Authors: Christian Rondanini, Barbara Carminati, Elena Ferrari, Niccolò Lardo, Ashish Kundu | Published: 2026-02-12
Federated Learning
Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy
Authors: Júlio Oliveira, Rodrigo Ferreira, André Riker, Glaucio H. S. Carvalho, Eirini Eleni Tsilopoulou | Published: 2026-02-10
SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy
Authors: Francesco Capano, Jonas Böhler, Benjamin Weggenmann | Published: 2026-01-14
Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices
Authors: Damian Harenčák, Lukáš Gajdošech, Martin Madaras | Published: 2026-01-08
An Efficient Gradient-Based Inference Attack for Federated Learning
Authors: Pablo Montaña-Fernández, Ines Ortega-Fernandez | Published: 2025-12-17
Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety
Authors: Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong | Published: 2025-12-09
Scaling Trust in Quantum Federated Learning: A Multi-Protocol Privacy Design
Authors: Dev Gurung, Shiva Raj Pokhrel | Published: 2025-12-03
Quantum Vanguard: Server Optimized Privacy Fortified Federated Intelligence for Future Vehicles
Authors: Dev Gurung, Shiva Raj Pokhrel | Published: 2025-12-02
GUIDE: Enhancing Gradient Inversion Attacks in Federated Learning with Denoising Models
Authors: Vincenzo Carletti, Pasquale Foggia, Carlo Mazzocca, Giuseppe Parrella, Mario Vento | Published: 2025-10-20
Fairness-Constrained Optimization Attack in Federated Learning
Authors: Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy | Published: 2025-10-14