PrivFED -- A Framework for Privacy-Preserving Federated Learning in Enhanced Breast Cancer Diagnosis
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Jha, Maithili, Maitri, S., Lohithdakshan, M., J, Shiny Duela, Raja, K. |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
PrivFly: A Privacy-Preserving Self-Supervised Framework for Rare Attack Detection in IoFT
par: Menssouri, Safaa, et autres
Publié: (2026)
par: Menssouri, Safaa, et autres
Publié: (2026)
PrivAgE: A Toolchain for Privacy-Preserving Distributed Aggregation on Edge-Devices
par: Liebenow, Johannes, et autres
Publié: (2023)
par: Liebenow, Johannes, et autres
Publié: (2023)
Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
par: Ali, Anas, et autres
Publié: (2025)
par: Ali, Anas, et autres
Publié: (2025)
PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance
par: Ayana, Jifar Wakuma, et autres
Publié: (2025)
par: Ayana, Jifar Wakuma, et autres
Publié: (2025)
Privacy-Preserving Federated Learning Framework for Risk-Based Adaptive Authentication
par: Baseri, Yaser, et autres
Publié: (2025)
par: Baseri, Yaser, et autres
Publié: (2025)
PrivCode: When Code Generation Meets Differential Privacy
par: Liu, Zheng, et autres
Publié: (2025)
par: Liu, Zheng, et autres
Publié: (2025)
Enhancing Security Using Random Binary Weights in Privacy-Preserving Federated Learning
par: Sawada, Hiroto, et autres
Publié: (2024)
par: Sawada, Hiroto, et autres
Publié: (2024)
PrivTru: A Privacy-by-Design Data Trustee Minimizing Information Leakage
par: Gehring, Lukas, et autres
Publié: (2025)
par: Gehring, Lukas, et autres
Publié: (2025)
TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning
par: Gómez, Ángel Luis Perales, et autres
Publié: (2023)
par: Gómez, Ángel Luis Perales, et autres
Publié: (2023)
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
par: Behnia, Rouzbeh, et autres
Publié: (2023)
par: Behnia, Rouzbeh, et autres
Publié: (2023)
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
par: Li, Xiang, et autres
Publié: (2025)
par: Li, Xiang, et autres
Publié: (2025)
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection
par: Abadi, Aydin, et autres
Publié: (2024)
par: Abadi, Aydin, et autres
Publié: (2024)
Bridging Local and Federated Data Normalization in Federated Learning: A Privacy-Preserving Approach
par: Coşğun, Melih, et autres
Publié: (2025)
par: Coşğun, Melih, et autres
Publié: (2025)
PrivAR: Real-Time Privacy Protection for Location-Based Augmented Reality Applications
par: Seeam, Shafizur Rahman, et autres
Publié: (2025)
par: Seeam, Shafizur Rahman, et autres
Publié: (2025)
Enabling Privacy-Preserving Cyber Threat Detection with Federated Learning
par: Bi, Yu, et autres
Publié: (2024)
par: Bi, Yu, et autres
Publié: (2024)
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning
par: Nie, Chenfei, et autres
Publié: (2024)
par: Nie, Chenfei, et autres
Publié: (2024)
FL-DECO-BC: A Privacy-Preserving, Provably Secure, and Provenance-Preserving Federated Learning Framework with Decentralized Oracles on Blockchain for VANETs
par: Narkedimilli, Sathwik, et autres
Publié: (2024)
par: Narkedimilli, Sathwik, et autres
Publié: (2024)
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models
par: Li, Yang, et autres
Publié: (2024)
par: Li, Yang, et autres
Publié: (2024)
Preserving Privacy and Security in Federated Learning
par: Nguyen, Truc, et autres
Publié: (2022)
par: Nguyen, Truc, et autres
Publié: (2022)
Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration
par: Dhinakaran, D., et autres
Publié: (2024)
par: Dhinakaran, D., et autres
Publié: (2024)
PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy
par: Mao, Yulian, et autres
Publié: (2024)
par: Mao, Yulian, et autres
Publié: (2024)
Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
par: Digregorio, Gabriele, et autres
Publié: (2025)
par: Digregorio, Gabriele, et autres
Publié: (2025)
Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
par: Costa, Ivan, et autres
Publié: (2026)
par: Costa, Ivan, et autres
Publié: (2026)
Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
par: Guo, Yuqi, et autres
Publié: (2024)
par: Guo, Yuqi, et autres
Publié: (2024)
Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT
par: Ahsan, Shakil Ibne, et autres
Publié: (2024)
par: Ahsan, Shakil Ibne, et autres
Publié: (2024)
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
par: Zhang, Sen, et autres
Publié: (2025)
par: Zhang, Sen, et autres
Publié: (2025)
A Privacy-Preserving Information-Sharing Protocol for Federated Authentication
par: Buccafurri, Francesco, et autres
Publié: (2025)
par: Buccafurri, Francesco, et autres
Publié: (2025)
FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering
par: Wei, Yunan, et autres
Publié: (2025)
par: Wei, Yunan, et autres
Publié: (2025)
Efficient Byzantine-Robust Privacy-Preserving Federated Learning via Dimension Compression
par: Qin, Xian, et autres
Publié: (2025)
par: Qin, Xian, et autres
Publié: (2025)
Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning
par: Wu, Jiahui, et autres
Publié: (2025)
par: Wu, Jiahui, et autres
Publié: (2025)
FLRSP: Privacy-Preserving Federated Learning Using Randomly Selected Model Parameters
par: Sawada, Hiroto, et autres
Publié: (2026)
par: Sawada, Hiroto, et autres
Publié: (2026)
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
par: Scheu-Hachtel, Linda, et autres
Publié: (2025)
par: Scheu-Hachtel, Linda, et autres
Publié: (2025)
Privacy-Preserving in Blockchain-based Federated Learning Systems
par: M., Sameera K., et autres
Publié: (2024)
par: M., Sameera K., et autres
Publié: (2024)
Privacy-Preserving Federated Unlearning with Certified Client Removal
par: Liu, Ziyao, et autres
Publié: (2024)
par: Liu, Ziyao, et autres
Publié: (2024)
Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis
par: Zhou, Lixi, et autres
Publié: (2024)
par: Zhou, Lixi, et autres
Publié: (2024)
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models
par: Ahmadi, Kasra, et autres
Publié: (2025)
par: Ahmadi, Kasra, et autres
Publié: (2025)
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models
par: Li, Haoran, et autres
Publié: (2023)
par: Li, Haoran, et autres
Publié: (2023)
PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks
par: Yang, Xin, et autres
Publié: (2024)
par: Yang, Xin, et autres
Publié: (2024)
Privacy Preserving In-Context-Learning Framework for Large Language Models
par: Bhusal, Bishnu, et autres
Publié: (2025)
par: Bhusal, Bishnu, et autres
Publié: (2025)
Got Root? A Linux Priv-Esc Benchmark
par: Happe, Andreas, et autres
Publié: (2024)
par: Happe, Andreas, et autres
Publié: (2024)
Documents similaires
-
PrivFly: A Privacy-Preserving Self-Supervised Framework for Rare Attack Detection in IoFT
par: Menssouri, Safaa, et autres
Publié: (2026) -
PrivAgE: A Toolchain for Privacy-Preserving Distributed Aggregation on Edge-Devices
par: Liebenow, Johannes, et autres
Publié: (2023) -
Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
par: Ali, Anas, et autres
Publié: (2025) -
PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance
par: Ayana, Jifar Wakuma, et autres
Publié: (2025) -
Privacy-Preserving Federated Learning Framework for Risk-Based Adaptive Authentication
par: Baseri, Yaser, et autres
Publié: (2025)