Saved in:
| Main Authors: | Alsulaimawi, Zahir, Liu, Huaping |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.03069 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One-Shot Federated Ridge Regression: Exact Recovery via Sufficient Statistic Aggregation
by: Alsulaimawi, Zahir
Published: (2026)
by: Alsulaimawi, Zahir
Published: (2026)
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
Synergizing Privacy and Utility in Data Analytics Through Advanced Information Theorization
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
Federated Learning with Anomaly Detection via Gradient and Reconstruction Analysis
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases
by: Cui, Ziyao, et al.
Published: (2025)
by: Cui, Ziyao, et al.
Published: (2025)
PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces
by: Wong, Wan Ki, et al.
Published: (2025)
by: Wong, Wan Ki, et al.
Published: (2025)
Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration
by: Zhang, Yiwei, et al.
Published: (2025)
by: Zhang, Yiwei, et al.
Published: (2025)
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
by: Fang, Congyu, et al.
Published: (2024)
by: Fang, Congyu, et al.
Published: (2024)
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
by: Lee, Seewoo, et al.
Published: (2024)
by: Lee, Seewoo, et al.
Published: (2024)
An Efficient Privacy-preserving Intrusion Detection Scheme for UAV Swarm Networks
by: Gharami, Kanchon, et al.
Published: (2025)
by: Gharami, Kanchon, et al.
Published: (2025)
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
by: Guerra-Manzanares, Alejandro, et al.
Published: (2023)
by: Guerra-Manzanares, Alejandro, et al.
Published: (2023)
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation
by: Shao, Wei, et al.
Published: (2024)
by: Shao, Wei, et al.
Published: (2024)
Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issue
by: Brunner, David, et al.
Published: (2024)
by: Brunner, David, et al.
Published: (2024)
Privacy-preserving data release leveraging optimal transport and particle gradient descent
by: Donhauser, Konstantin, et al.
Published: (2024)
by: Donhauser, Konstantin, et al.
Published: (2024)
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
by: Westrich, Benjamin
Published: (2025)
by: Westrich, Benjamin
Published: (2025)
Privacy Amplification Persists under Unlimited Synthetic Data Release
by: Pierquin, Clément, et al.
Published: (2026)
by: Pierquin, Clément, et al.
Published: (2026)
$π$QLB: A Privacy-preserving with Integrity-assuring Query Language for Blockchain
by: Sohrabi, Nasrin, et al.
Published: (2022)
by: Sohrabi, Nasrin, et al.
Published: (2022)
Privacy-preserving gradient-based fair federated learning
by: Adamek, Janis, et al.
Published: (2024)
by: Adamek, Janis, et al.
Published: (2024)
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning
by: Watkins, William, et al.
Published: (2024)
by: Watkins, William, et al.
Published: (2024)
Privacy-Preserving Hierarchical Model-Distributed Inference
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024)
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024)
Privacy-preserving Decision-focused Learning for Multi-energy Systems
by: Zhou, Yangze, et al.
Published: (2025)
by: Zhou, Yangze, et al.
Published: (2025)
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI
by: Giddens, Spencer, et al.
Published: (2024)
by: Giddens, Spencer, et al.
Published: (2024)
Deep Learning under Fractional-Order Differential Privacy
by: Partohaghighi, Mohammad, et al.
Published: (2026)
by: Partohaghighi, Mohammad, et al.
Published: (2026)
Diverse Community Data for Benchmarking Data Privacy Algorithms
by: Sen, Aniruddha, et al.
Published: (2023)
by: Sen, Aniruddha, et al.
Published: (2023)
DDP-SA: Scalable Privacy-Preserving Federated Learning via Distributed Differential Privacy and Secure Aggregation
by: Wei, Wenjing, et al.
Published: (2026)
by: Wei, Wenjing, et al.
Published: (2026)
Data Privacy Preservation on the Internet of Things
by: Sen, Jaydip, et al.
Published: (2023)
by: Sen, Jaydip, et al.
Published: (2023)
Managing Correlations in Data and Privacy Demand
by: Chaudhuri, Syomantak, et al.
Published: (2025)
by: Chaudhuri, Syomantak, et al.
Published: (2025)
Supervised Robustness-preserving Data-free Neural Network Pruning
by: Meng, Mark Huasong, et al.
Published: (2022)
by: Meng, Mark Huasong, et al.
Published: (2022)
Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification
by: Qiu, Wenjun, et al.
Published: (2020)
by: Qiu, Wenjun, et al.
Published: (2020)
Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy
by: Ganev, Georgi, et al.
Published: (2025)
by: Ganev, Georgi, et al.
Published: (2025)
PRISM: Privacy-preserving Inference System with Homomorphic Encryption and Modular Activation
by: Elkhatib, Zeinab, et al.
Published: (2025)
by: Elkhatib, Zeinab, et al.
Published: (2025)
Impact of Privacy Parameters on Deep Learning Models for Image Classification
by: Chaulagain, Basanta
Published: (2024)
by: Chaulagain, Basanta
Published: (2024)
Privacy Vulnerabilities in Marginals-based Synthetic Data
by: Golob, Steven, et al.
Published: (2024)
by: Golob, Steven, et al.
Published: (2024)
Training Data Reconstruction: Privacy due to Uncertainty?
by: Runkel, Christina, et al.
Published: (2024)
by: Runkel, Christina, et al.
Published: (2024)
Privacy-Preserving Fair Synthetic Tabular Data
by: Sarmin, Fatima J., et al.
Published: (2025)
by: Sarmin, Fatima J., et al.
Published: (2025)
Differential Privacy via Distributionally Robust Optimization
by: Selvi, Aras, et al.
Published: (2023)
by: Selvi, Aras, et al.
Published: (2023)
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study
by: Moshruba, Ayana, et al.
Published: (2024)
by: Moshruba, Ayana, et al.
Published: (2024)
Online Bayesian Imbalanced Learning with Bregman-Calibrated Deep Networks
by: Alsulaimawi, Zahir
Published: (2026)
by: Alsulaimawi, Zahir
Published: (2026)
Similar Items
-
One-Shot Federated Ridge Regression: Exact Recovery via Sufficient Statistic Aggregation
by: Alsulaimawi, Zahir
Published: (2026) -
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning
by: Alsulaimawi, Zahir
Published: (2024) -
Synergizing Privacy and Utility in Data Analytics Through Advanced Information Theorization
by: Alsulaimawi, Zahir
Published: (2024) -
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
by: Alsulaimawi, Zahir
Published: (2024) -
Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks
by: Alsulaimawi, Zahir
Published: (2024)