Proof of Reasoning for Privacy Enhanced Federated Blockchain Learning at the Edge
Fuente:
arXiv
Saved in:
| Main Authors: | Calo, James, Lo, Benny |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain
by: Chen, Weiliang, et al.
Published: (2024)
by: Chen, Weiliang, et al.
Published: (2024)
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
by: Mendieta, Matias, et al.
Published: (2024)
by: Mendieta, Matias, et al.
Published: (2024)
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
by: Tobaben, Marlon, et al.
Published: (2024)
by: Tobaben, Marlon, et al.
Published: (2024)
Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
by: Gu, Hanlin, et al.
Published: (2024)
by: Gu, Hanlin, et al.
Published: (2024)
Privacy-Aware Federated nnU-Net for ECG Page Digitization
by: Nemati, Nader
Published: (2025)
by: Nemati, Nader
Published: (2025)
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
by: Seo, Kyeongkook, et al.
Published: (2025)
by: Seo, Kyeongkook, et al.
Published: (2025)
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach
by: Huang, Wenjun, et al.
Published: (2024)
by: Huang, Wenjun, et al.
Published: (2024)
HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing
by: Quan, Minh K., et al.
Published: (2024)
by: Quan, Minh K., et al.
Published: (2024)
Federated Learning With Individualized Privacy Through Client Sampling
by: Lange, Lucas, et al.
Published: (2025)
by: Lange, Lucas, et al.
Published: (2025)
ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
by: Amin, Al, et al.
Published: (2024)
by: Amin, Al, et al.
Published: (2024)
Deep Learning with Data Privacy via Residual Perturbation
by: Tao, Wenqi, et al.
Published: (2024)
by: Tao, Wenqi, et al.
Published: (2024)
SpooFL: Spoofing Federated Learning
by: Baglin, Isaac, et al.
Published: (2026)
by: Baglin, Isaac, et al.
Published: (2026)
Federated Learning with Label-Masking Distillation
by: Lu, Jianghu, et al.
Published: (2024)
by: Lu, Jianghu, et al.
Published: (2024)
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic Regression
by: Chiang, John
Published: (2023)
by: Chiang, John
Published: (2023)
PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy
by: Jiang, Zepeng, et al.
Published: (2024)
by: Jiang, Zepeng, et al.
Published: (2024)
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
by: Zhuang, Haomin, et al.
Published: (2023)
by: Zhuang, Haomin, et al.
Published: (2023)
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
by: Piran, Fardin Jalil, et al.
Published: (2024)
by: Piran, Fardin Jalil, et al.
Published: (2024)
Provenance of AI-Generated Images: A Vector Similarity and Blockchain-based Approach
by: Sharma, Jitendra, et al.
Published: (2025)
by: Sharma, Jitendra, et al.
Published: (2025)
FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation
by: Wang, Ruiyang, et al.
Published: (2026)
by: Wang, Ruiyang, et al.
Published: (2026)
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning
by: Wang, Chendi, et al.
Published: (2024)
by: Wang, Chendi, et al.
Published: (2024)
Privacy Preserving Properties of Vision Classifiers
by: Suhail, Pirzada, et al.
Published: (2025)
by: Suhail, Pirzada, et al.
Published: (2025)
1-D CNN-Based Online Signature Verification with Federated Learning
by: Zhang, Lingfeng, et al.
Published: (2024)
by: Zhang, Lingfeng, et al.
Published: (2024)
SaFL: Sybil-aware Federated Learning with Application to Face Recognition
by: Ghafourian, Mahdi, et al.
Published: (2023)
by: Ghafourian, Mahdi, et al.
Published: (2023)
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
by: Fan, Mingyuan, et al.
Published: (2025)
by: Fan, Mingyuan, et al.
Published: (2025)
Privacy Risks in Reinforcement Learning for Household Robots
by: Li, Miao, et al.
Published: (2023)
by: Li, Miao, et al.
Published: (2023)
Diffence: Fencing Membership Privacy With Diffusion Models
by: Peng, Yuefeng, et al.
Published: (2023)
by: Peng, Yuefeng, et al.
Published: (2023)
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning
by: Ali, Hassan, et al.
Published: (2024)
by: Ali, Hassan, et al.
Published: (2024)
FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services
by: Ek, Sannara, et al.
Published: (2024)
by: Ek, Sannara, et al.
Published: (2024)
Privacy-Preserving Video Anomaly Detection: A Survey
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
On the Privacy Effect of Data Enhancement via the Lens of Memorization
by: Li, Xiao, et al.
Published: (2022)
by: Li, Xiao, et al.
Published: (2022)
Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning
by: Ünal, Ali Burak, et al.
Published: (2025)
by: Ünal, Ali Burak, et al.
Published: (2025)
Amplified Patch-Level Differential Privacy for Free via Random Cropping
by: Durmaz, Kaan, et al.
Published: (2026)
by: Durmaz, Kaan, et al.
Published: (2026)
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference
by: Yuan, Man-Jie, et al.
Published: (2024)
by: Yuan, Man-Jie, et al.
Published: (2024)
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
by: Yang, Yilin, et al.
Published: (2023)
by: Yang, Yilin, et al.
Published: (2023)
$S^2$NeRF: Privacy-preserving Training Framework for NeRF
by: Zhang, Bokang, et al.
Published: (2024)
by: Zhang, Bokang, et al.
Published: (2024)
Innovative Deep Learning Architecture for Enhanced Altered Fingerprint Recognition
by: Abdullah, Dana A, et al.
Published: (2025)
by: Abdullah, Dana A, et al.
Published: (2025)
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
by: Wang, Yinggui, et al.
Published: (2024)
by: Wang, Yinggui, et al.
Published: (2024)
DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal
by: Shi, Jiaeli, et al.
Published: (2023)
by: Shi, Jiaeli, et al.
Published: (2023)
Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
by: Luo, Zihao, et al.
Published: (2024)
by: Luo, Zihao, et al.
Published: (2024)
DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
by: Wang, Hanrui, et al.
Published: (2025)
by: Wang, Hanrui, et al.
Published: (2025)
Similar Items
-
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain
by: Chen, Weiliang, et al.
Published: (2024) -
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
by: Mendieta, Matias, et al.
Published: (2024) -
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
by: Tobaben, Marlon, et al.
Published: (2024) -
Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
by: Gu, Hanlin, et al.
Published: (2024) -
Privacy-Aware Federated nnU-Net for ECG Page Digitization
by: Nemati, Nader
Published: (2025)