SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy
Authors: Francesco Capano, Jonas Böhler, Benjamin Weggenmann | Published: 2026-01-14
連合学習
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
Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings
Authors: Roberto Doriguzzi-Corin, Petr Sabel, Silvio Cretti, Silvio Ranise | Published: 2025-09-22
Secure UAV-assisted Federated Learning: A Digital Twin-Driven Approach with Zero-Knowledge Proofs
Authors: Md Bokhtiar Al Zami, Md Raihan Uddin, Dinh C. Nguyen | Published: 2025-09-17