Guardado en:
| Autores principales: | Fotohi, Reza, Aliee, Fereidoon Shams, Farahani, Bahar |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2503.02017 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
por: Fotohi, Reza, et al.
Publicado: (2025)
por: Fotohi, Reza, et al.
Publicado: (2025)
Preserving Privacy and Security in Federated Learning
por: Nguyen, Truc, et al.
Publicado: (2022)
por: Nguyen, Truc, et al.
Publicado: (2022)
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning
por: Yang, Xue, et al.
Publicado: (2024)
por: Yang, Xue, et al.
Publicado: (2024)
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems
por: Aminifar, Amin, et al.
Publicado: (2024)
por: Aminifar, Amin, et al.
Publicado: (2024)
Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety
por: Elmahallawy, Mohamed, et al.
Publicado: (2025)
por: Elmahallawy, Mohamed, et al.
Publicado: (2025)
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models
por: Ahmadi, Kasra, et al.
Publicado: (2025)
por: Ahmadi, Kasra, et al.
Publicado: (2025)
DDP-SA: Scalable Privacy-Preserving Federated Learning via Distributed Differential Privacy and Secure Aggregation
por: Wei, Wenjing, et al.
Publicado: (2026)
por: Wei, Wenjing, et al.
Publicado: (2026)
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning
por: Zhang, Yiwei, et al.
Publicado: (2024)
por: Zhang, Yiwei, et al.
Publicado: (2024)
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
por: Li, Xiang, et al.
Publicado: (2025)
por: Li, Xiang, et al.
Publicado: (2025)
A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
por: Mahmoud, Taha M., et al.
Publicado: (2025)
por: Mahmoud, Taha M., et al.
Publicado: (2025)
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture
por: Fares, Mohamad Haj, et al.
Publicado: (2024)
por: Fares, Mohamad Haj, et al.
Publicado: (2024)
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning
por: Hayati, Haleh, et al.
Publicado: (2024)
por: Hayati, Haleh, et al.
Publicado: (2024)
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
por: Wang, Yuntao, et al.
Publicado: (2022)
por: Wang, Yuntao, et al.
Publicado: (2022)
Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning
por: Damie, Marc, et al.
Publicado: (2025)
por: Damie, Marc, et al.
Publicado: (2025)
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection
por: Abadi, Aydin, et al.
Publicado: (2024)
por: Abadi, Aydin, et al.
Publicado: (2024)
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
por: Xie, Chulin, et al.
Publicado: (2022)
por: Xie, Chulin, et al.
Publicado: (2022)
SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE
por: Wang, Hongxiao, et al.
Publicado: (2022)
por: Wang, Hongxiao, et al.
Publicado: (2022)
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
por: Yu, Sixing, et al.
Publicado: (2023)
por: Yu, Sixing, et al.
Publicado: (2023)
A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security
por: Ceviz, Ozlem, et al.
Publicado: (2023)
por: Ceviz, Ozlem, et al.
Publicado: (2023)
Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting
por: Ali, Mahad, et al.
Publicado: (2025)
por: Ali, Mahad, et al.
Publicado: (2025)
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction
por: Zhong, Shuai, et al.
Publicado: (2024)
por: Zhong, Shuai, et al.
Publicado: (2024)
Decentralized Federated Learning: A Survey on Security and Privacy
por: Hallaji, Ehsan, et al.
Publicado: (2024)
por: Hallaji, Ehsan, et al.
Publicado: (2024)
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud
por: Duan, Shijin, et al.
Publicado: (2024)
por: Duan, Shijin, et al.
Publicado: (2024)
Privacy-Preserving in Blockchain-based Federated Learning Systems
por: M., Sameera K., et al.
Publicado: (2024)
por: M., Sameera K., et al.
Publicado: (2024)
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks
por: Scheliga, Daniel, et al.
Publicado: (2023)
por: Scheliga, Daniel, et al.
Publicado: (2023)
BlocksecRT-DETR: Decentralized Privacy-Preserving and Token-Efficient Federated Transformer Learning for Secure Real-Time Object Detection in ITS
por: Tahera, Mohoshin Ara, et al.
Publicado: (2026)
por: Tahera, Mohoshin Ara, et al.
Publicado: (2026)
Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration
por: Zhang, Yiwei, et al.
Publicado: (2025)
por: Zhang, Yiwei, et al.
Publicado: (2025)
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare
por: Nawaz, Anum, et al.
Publicado: (2025)
por: Nawaz, Anum, et al.
Publicado: (2025)
Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation
por: Xu, Jie, et al.
Publicado: (2026)
por: Xu, Jie, et al.
Publicado: (2026)
Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy
por: Ganadily, Naif A., et al.
Publicado: (2024)
por: Ganadily, Naif A., et al.
Publicado: (2024)
Agentic Privacy-Preserving Machine Learning
por: Zhang, Mengyu, et al.
Publicado: (2025)
por: Zhang, Mengyu, et al.
Publicado: (2025)
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation
por: Saleem, Hamza, et al.
Publicado: (2024)
por: Saleem, Hamza, et al.
Publicado: (2024)
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation
por: Li, Chengxi, et al.
Publicado: (2024)
por: Li, Chengxi, et al.
Publicado: (2024)
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
por: Piran, Fardin Jalil, et al.
Publicado: (2024)
por: Piran, Fardin Jalil, et al.
Publicado: (2024)
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
por: Xu, Yukai, et al.
Publicado: (2024)
por: Xu, Yukai, et al.
Publicado: (2024)
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks
por: Dong, Wenhan, et al.
Publicado: (2024)
por: Dong, Wenhan, et al.
Publicado: (2024)
A Privacy Preserving System for Movie Recommendations Using Federated Learning
por: Neumann, David, et al.
Publicado: (2023)
por: Neumann, David, et al.
Publicado: (2023)
A Privacy-Centric Approach: Scalable and Secure Federated Learning Enabled by Hybrid Homomorphic Encryption
por: Nguyen, Khoa, et al.
Publicado: (2025)
por: Nguyen, Khoa, et al.
Publicado: (2025)
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
por: Zeng, Zhihao, et al.
Publicado: (2025)
por: Zeng, Zhihao, et al.
Publicado: (2025)
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
por: Jin, Weizhao, et al.
Publicado: (2023)
por: Jin, Weizhao, et al.
Publicado: (2023)
Ejemplares similares
-
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
por: Fotohi, Reza, et al.
Publicado: (2025) -
Preserving Privacy and Security in Federated Learning
por: Nguyen, Truc, et al.
Publicado: (2022) -
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning
por: Yang, Xue, et al.
Publicado: (2024) -
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems
por: Aminifar, Amin, et al.
Publicado: (2024) -
Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety
por: Elmahallawy, Mohamed, et al.
Publicado: (2025)