Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Gokcen, Alpaslan, Boyaci, Ali |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges
par: Efatinasab, Emad, et autres
Publié: (2025)
par: Efatinasab, Emad, et autres
Publié: (2025)
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
par: Wu, Leming, et autres
Publié: (2025)
par: Wu, Leming, et autres
Publié: (2025)
Learning from Anonymized and Incomplete Tabular Data
par: Lange, Lucas, et autres
Publié: (2026)
par: Lange, Lucas, et autres
Publié: (2026)
Approximate and Weighted Data Reconstruction Attack in Federated Learning
par: Song, Yongcun, et autres
Publié: (2023)
par: Song, Yongcun, et autres
Publié: (2023)
Personalized Federated Learning Techniques: Empirical Analysis
par: Khan, Azal Ahmad, et autres
Publié: (2024)
par: Khan, Azal Ahmad, et autres
Publié: (2024)
Data Valuation and Detections in Federated Learning
par: Li, Wenqian, et autres
Publié: (2023)
par: Li, Wenqian, et autres
Publié: (2023)
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
par: Diana, Francesco, et autres
Publié: (2025)
par: Diana, Francesco, et autres
Publié: (2025)
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
par: Zheng, Shuyuan, et autres
Publié: (2025)
par: Zheng, Shuyuan, et autres
Publié: (2025)
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
par: Li, Youpeng, et autres
Publié: (2024)
par: Li, Youpeng, et autres
Publié: (2024)
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
par: Wu, Zhaomin, et autres
Publié: (2024)
par: Wu, Zhaomin, et autres
Publié: (2024)
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
par: Zuo, Shiyuan, et autres
Publié: (2024)
par: Zuo, Shiyuan, et autres
Publié: (2024)
UIFV: Data Reconstruction Attack in Vertical Federated Learning
par: Yang, Jirui, et autres
Publié: (2024)
par: Yang, Jirui, et autres
Publié: (2024)
EGAN: Evolutional GAN for Ransomware Evasion
par: Commey, Daniel, et autres
Publié: (2024)
par: Commey, Daniel, et autres
Publié: (2024)
Coded Robust Aggregation for Distributed Learning under Byzantine Attacks
par: Li, Chengxi, et autres
Publié: (2025)
par: Li, Chengxi, et autres
Publié: (2025)
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
par: Yu, Sixing, et autres
Publié: (2023)
par: Yu, Sixing, et autres
Publié: (2023)
Enhancing IoT Security Against DDoS Attacks through Federated Learning
par: Shirvani, Ghazaleh, et autres
Publié: (2024)
par: Shirvani, Ghazaleh, et autres
Publié: (2024)
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
par: Xu, Yukai, et autres
Publié: (2024)
par: Xu, Yukai, et autres
Publié: (2024)
Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings
par: Arazzi, Marco, et autres
Publié: (2025)
par: Arazzi, Marco, et autres
Publié: (2025)
AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning
par: Tang, Zehui, et autres
Publié: (2026)
par: Tang, Zehui, et autres
Publié: (2026)
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
par: Meerza, Syed Irfan Ali, et autres
Publié: (2024)
par: Meerza, Syed Irfan Ali, et autres
Publié: (2024)
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
par: Hiniduma, Kaveen, et autres
Publié: (2025)
par: Hiniduma, Kaveen, et autres
Publié: (2025)
Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning
par: Khalil, Mohammad, et autres
Publié: (2025)
par: Khalil, Mohammad, et autres
Publié: (2025)
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning
par: Zhang, Yujie, et autres
Publié: (2024)
par: Zhang, Yujie, et autres
Publié: (2024)
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization
par: Feng, Ce, et autres
Publié: (2024)
par: Feng, Ce, et autres
Publié: (2024)
Fake detection in imbalance dataset by Semi-supervised learning with GAN
par: Bordbar, Jinus, et autres
Publié: (2022)
par: Bordbar, Jinus, et autres
Publié: (2022)
A Visualized Malware Detection Framework with CNN and Conditional GAN
par: Wang, Fang, et autres
Publié: (2024)
par: Wang, Fang, et autres
Publié: (2024)
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning
par: Zhang, Xiaojin, et autres
Publié: (2024)
par: Zhang, Xiaojin, et autres
Publié: (2024)
A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private Federated Learning
par: Tertulino, Rodrigo, et autres
Publié: (2026)
par: Tertulino, Rodrigo, et autres
Publié: (2026)
SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization
par: Singampalli, Akhil, et autres
Publié: (2024)
par: Singampalli, Akhil, et autres
Publié: (2024)
False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning
par: Uddin, Md Raihan, et autres
Publié: (2024)
par: Uddin, Md Raihan, et autres
Publié: (2024)
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
par: Yuan, Xun, et autres
Publié: (2024)
par: Yuan, Xun, et autres
Publié: (2024)
Confidence Is All You Need for MI Attacks
par: Sinha, Abhishek, et autres
Publié: (2023)
par: Sinha, Abhishek, et autres
Publié: (2023)
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
par: Quy, Vu Khanh, et autres
Publié: (2024)
par: Quy, Vu Khanh, et autres
Publié: (2024)
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
par: Rokvic, Ljubomir, et autres
Publié: (2022)
par: Rokvic, Ljubomir, et autres
Publié: (2022)
Exploring the Robustness of In-Context Learning with Noisy Labels
par: Cheng, Chen, et autres
Publié: (2024)
par: Cheng, Chen, et autres
Publié: (2024)
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV
par: Talpur, Anum, et autres
Publié: (2022)
par: Talpur, Anum, et autres
Publié: (2022)
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion
par: Zhang, Xiaojin, et autres
Publié: (2023)
par: Zhang, Xiaojin, et autres
Publié: (2023)
Federated Learning in Practice: Reflections and Projections
par: Daly, Katharine, et autres
Publié: (2024)
par: Daly, Katharine, et autres
Publié: (2024)
Res-MIA: A Training-Free Resolution-Based Membership Inference Attack on Federated Learning Models
par: Zare, Mohammad, et autres
Publié: (2026)
par: Zare, Mohammad, et autres
Publié: (2026)
Trustworthy Intrusion Detection: Confidence Estimation Using Latent Space
par: Pitsiorlas, Ioannis, et autres
Publié: (2024)
par: Pitsiorlas, Ioannis, et autres
Publié: (2024)
Documents similaires
-
Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges
par: Efatinasab, Emad, et autres
Publié: (2025) -
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
par: Wu, Leming, et autres
Publié: (2025) -
Learning from Anonymized and Incomplete Tabular Data
par: Lange, Lucas, et autres
Publié: (2026) -
Approximate and Weighted Data Reconstruction Attack in Federated Learning
par: Song, Yongcun, et autres
Publié: (2023) -
Personalized Federated Learning Techniques: Empirical Analysis
par: Khan, Azal Ahmad, et autres
Publié: (2024)