Key papers

• Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification (2025)
  Gazi Tanbhir and Md. Farhan Shahriyar
  6.63
• Decentralized Compute on Untrusted Hardware Using Intel TDX and Encrypted CVMs (2026)
  Venish Patidar et al.
  5.01
• Post-Quantum Secure Federated DeFi for Inclusive Banking (2026)
  Swati Sachan et al.
  4.95
• Intercloud: Eventual Consistency for Decentralised Economies via Chilling-Effect Consensus (2026)
  Gregory Magarshak
  4.27
• Thou Shall Not Pass: Gatekeeping Outbound TLS Connections (2026)
  Henrique B. Brum et al.
  4.27
• A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning (2025)
  Abdulkadir Korkmaz and Praveen Rao
  4.19
• Adaptive Federated Learning with Functional Encryption: A Comparison of Classical and Quantum-safe Options (2025)
  Enrico Sorbera et al.
  3.70
• Safecloud: A Distributed, Encrypted Storage Cloud for Streaming (2026)
  Gregory Magarshak
  3.45
• PP-MARL: Efficient Privacy-Preserving Multi-Agent Reinforcement Learning for Cooperative Intelligence in Communications (2022)
  Tingting Yuan et al.
  3.19
• Trustless Federated Learning at Edge-Scale: A Compositional Architecture for Decentralized, Verifiable, and Incentive-Aligned Coordination (2025)
  Pius Onobhayedo et al.
  3.15
• Trans-XFed: An Explainable Federated Learning for Supply Chain Credit Assessment (2025)
  Jie Shi et al.
  2.99
• Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE (2025)
  Ziyue Xu et al.
  2.76
• MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption (2024)
  Siddhant Dutta et al.
  2.60
• Homomorphic Encryption Based on Lattice Post-Quantum Cryptography (2025)
  Abel C. H. Chen
  2.60
• Bitcoin as an Interplanetary Monetary Standard with Proof-of-Transit Timestamping (2025)
  Jose E. Puente et al.
  2.45
• Quantum delegated and federated learning via quantum homomorphic encryption (2024)
  Weikang Li and Dong-Ling Deng
  2.43
• Privacy-aware Berrut Approximated Coded Computing for Federated Learning (2024)
  Xavier Mart\'inez Lua\~na et al.
  2.21
• Q-FE: A Quantum-Native 6G Far-Edge Architecture Securing Industrial IoT Digital Twins via CSIDH-PQC and Asynchronous Federated Learning (2026)
  Vincenzo Sammartino
  1.94
• Don't Trust Us: A privacy-by-design android malware detection pipeline (2026)
  Emmanuele Massidda et al.
  1.94
• Exploring CKKS Parameter Trade-offs for Privacy-Preserving Personalized Federated Learning (2026)
  Kamolchanok Saengtong et al.
  1.94
• Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces (2026)
  Han-Teng Liao et al.
  1.94
• FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings (2026)
  Farjana Yesmin
  1.89
• Enforcing Attestable Workflows across Untrusted Networks (2026)
  Hung Dang and Tue Nguyen
  1.89
• Verifiable Secure Aggregation via Dual Servers with Linear Tags in Federated Learning (2026)
  Yufei Zhou
  1.89
• Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels (2026)
  Anthony Ayli et al.
  1.89
• Towards Securing IIoT: An Innovative Privacy-Preserving Anomaly Detector Based on Federated Learning (2026)
  Samira Kamali Poorazad et al.
  1.83
• Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval (2026)
  Yu Liu et al.
  1.83
• The Missing Pillar in Quantum-Safe 6G: Regulation and Global Compliance (2026)
  Adnan Aijaz
  1.83
• Sovereign 2.0: Control-Plane Sovereignty for Cloud Systems Under Disruption (2026)
  Justin Stark and Scott Wilkie
  1.83
• EdgeDetect: Importance-Aware Gradient Compression with Homomorphic Aggregation for Federated Intrusion Detection (2026)
  Noor Islam S. Mohammad
  1.83
• CHRONOS: A Hardware-Assisted Phase-Decoupled Framework for Secure Federated Learning in IoT (2026)
  Hung Dang
  1.83
• Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection (2026)
  Prajwal Panth et al.
  1.83
• SUDP: Secret-Use Delegation Protocol for Agentic Systems (2026)
  Xiaohang Yu et al.
  1.83
• Secure Cross-Silo Synthetic Genomic Data Generation (2026)
  Daniil Filienko et al.
  1.83
• Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling (2026)
  Gaurang Sharma et al.
  1.83
• Understanding the Resource Cost of Fully Homomorphic Encryption in Quantum Federated Learning (2026)
  Lukas B\"ohm and Arjhun Swaminathan and Anika Hannemann and Erik Buchmann
  1.78
• Integrating Homomorphic Encryption and Synthetic Data in FL for Privacy and Learning Quality (2026)
  Yenan Wang et al.
  1.78
• Zero-Knowledge Federated Learning with Lattice-Based Hybrid Encryption for Quantum-Resilient Medical AI (2026)
  Edouard Lansiaux
  1.78
• Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption (2026)
  Yang Gao et al.
  1.78
• Balancing Privacy-Quality-Efficiency in Federated Learning through Round-Based Interleaving of Protection Techniques (2026)
  Yenan Wang et al.
  1.78
• Post-quantum Federated Learning: Secure And Scalable Threat Intelligence For Collaborative Cyber Defense (2026)
  Prabhudarshi Nayak et al.
  1.78
• Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap (2026)
  Zakia Zaman et al.
  1.78
• Quantum Key Distribution Secured Federated Learning for Channel Estimation and Radar Spectrum Sensing in 6G Networks (2026)
  Ferhat Ozgur Catak and Murat Kuzlu and Jungwon Seo and Umit Cali
  1.78
• Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks (2026)
  Yanming Mu et al.
  1.78
• Secure Two-Party Matrix Multiplication from Lattices and Its Application to Encrypted Control (2026)
  Kaoru Teranishi
  1.78
• Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption (2026)
  Ivan Costa et al.
  1.78
• Robust Federated Learning via Byzantine Filtering over Encrypted Updates (2026)
  Adda Akram Bendoukha et al.
  1.72
• Architecting Trust: A Framework for Secure IoT Systems Through Trusted Execution and Semantic Middleware (2026)
  Muhammad Imran
  1.72
• FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments (2026)
  Alejandro Dopico-Castro et al.
  1.72
• SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data (2026)
  Yiwen Lu
  1.72
• UnlinkableDFL: a Practical Mixnet Protocol for Churn-Tolerant Decentralized FL Model Sharing (2026)
  Chao Feng et al.
  1.72
• A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation (2026)
  Miguel Morona-M\'inguez and Alberto Pedrouzo-Ulloa and Fernando P\'erez-Gonz\'alez
  1.72
• Byzantine-Robust Federated Learning Framework with Post-Quantum Secure Aggregation for Real-Time Threat Intelligence Sharing in Critical IoT Infrastructure (2026)
  Milad Rahmati et al.
  1.67
• Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices (2026)
  Damian Haren\v{c}\'ak et al.
  1.67
• Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics (2026)
  Gaurav Sarraf et al.
  1.67
• Toward Youth-Centered Privacy-by-Design in Smart Devices: A Systematic Review (2026)
  Molly Campbell et al.
  1.67
• Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees (2026)
  Mohammed Himayath Ali et al.
  1.67
• Post-Quantum Secure Aggregation via Code-Based Homomorphic Encryption (2026)
  Sebastian Bitzer et al.
  1.67
• SpooFL: Spoofing Federated Learning (2026)
  Isaac Baglin et al.
  1.67
• FedGraph-VASP: Privacy-Preserving Federated Graph Learning with Post-Quantum Security for Cross-Institutional Anti-Money Laundering (2026)
  Daniel Commey et al.
  1.67