Privacy-preserving Quantification of Non-IID Degree in Federated Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Yan, Yuping, Wang, Yizhi, Yu, Yingchao, Jin, Yaochu |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
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)
Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings
par: Doriguzzi-Corin, Roberto, et autres
Publié: (2025)
par: Doriguzzi-Corin, Roberto, et autres
Publié: (2025)
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
par: Ma, Jing, et autres
Publié: (2021)
par: Ma, Jing, et autres
Publié: (2021)
FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning
par: Darwish, Rami, et autres
Publié: (2025)
par: Darwish, Rami, et autres
Publié: (2025)
Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning
par: Zhou, Lijing, et autres
Publié: (2022)
par: Zhou, Lijing, et autres
Publié: (2022)
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models
par: Hou, Sizai, et autres
Publié: (2025)
par: Hou, Sizai, et autres
Publié: (2025)
PROTEAN: Federated Intrusion Detection in Non-IID Environments through Prototype-Based Knowledge Sharing
par: Chennoufi, Sara, et autres
Publié: (2025)
par: Chennoufi, Sara, et autres
Publié: (2025)
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data
par: Makkonen, Okko, et autres
Publié: (2024)
par: Makkonen, Okko, et autres
Publié: (2024)
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)
Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
par: Baykara, Cem Ata, et autres
Publié: (2024)
par: Baykara, Cem Ata, et autres
Publié: (2024)
FLTG: Byzantine-Robust Federated Learning via Angle-Based Defense and Non-IID-Aware Weighting
par: Wen, Yanhua, et autres
Publié: (2025)
par: Wen, Yanhua, et autres
Publié: (2025)
Privacy in Federated Learning
par: Sen, Jaydip, et autres
Publié: (2024)
par: Sen, Jaydip, et autres
Publié: (2024)
Local Privacy-preserving Mechanisms and Applications in Machine Learning
par: Qin, Likun, et autres
Publié: (2024)
par: Qin, Likun, et autres
Publié: (2024)
BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse
par: Liu, Wenbo, et autres
Publié: (2024)
par: Liu, Wenbo, et autres
Publié: (2024)
EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
par: Li, Zhen, et autres
Publié: (2025)
par: Li, Zhen, et autres
Publié: (2025)
PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks
par: Zhang, Hongliang, et autres
Publié: (2025)
par: Zhang, Hongliang, 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)
Privacy-preserving server-supported decryption
par: Laud, Peeter, et autres
Publié: (2024)
par: Laud, Peeter, et autres
Publié: (2024)
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study
par: Yang, Yuwen, et autres
Publié: (2024)
par: Yang, Yuwen, 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)
Hidden Data Privacy Breaches in Federated Learning
par: Gong, Xueluan, et autres
Publié: (2024)
par: Gong, Xueluan, et autres
Publié: (2024)
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing
par: You, Zhichao, et autres
Publié: (2025)
par: You, Zhichao, et autres
Publié: (2025)
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation
par: Liu, Ziyao, et autres
Publié: (2024)
par: Liu, Ziyao, 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)
FedFDP: Fairness-Aware Federated Learning with Differential Privacy
par: Ling, Xinpeng, et autres
Publié: (2024)
par: Ling, Xinpeng, et autres
Publié: (2024)
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning
par: Zhang, Zhuo, et autres
Publié: (2024)
par: Zhang, Zhuo, et autres
Publié: (2024)
Improving LoRA in Privacy-preserving Federated Learning
par: Sun, Youbang, et autres
Publié: (2024)
par: Sun, Youbang, et autres
Publié: (2024)
Privacy-preserving authentication for military 5G networks
par: Lutz, I. D., et autres
Publié: (2025)
par: Lutz, I. D., et autres
Publié: (2025)
Local Layer-wise Differential Privacy in Federated Learning
par: Li, Yunbo, et autres
Publié: (2026)
par: Li, Yunbo, et autres
Publié: (2026)
Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy
par: Behnia, Rouzbeh, et autres
Publié: (2025)
par: Behnia, Rouzbeh, et autres
Publié: (2025)
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
par: Wang, Qifan, et autres
Publié: (2023)
par: Wang, Qifan, et autres
Publié: (2023)
Convergent Differential Privacy Analysis for General Federated Learning
par: Sun, Yan, et autres
Publié: (2024)
par: Sun, Yan, et autres
Publié: (2024)
LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning
par: Yan, Zeyu, et autres
Publié: (2025)
par: Yan, Zeyu, et autres
Publié: (2025)
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction
par: Islam, Nazmul, et autres
Publié: (2025)
par: Islam, Nazmul, et autres
Publié: (2025)
CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting
par: Chen, Zhuo, et autres
Publié: (2025)
par: Chen, Zhuo, et autres
Publié: (2025)
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)
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)
On the Efficiency of Privacy Attacks in Federated Learning
par: Tabassum, Nawrin, et autres
Publié: (2024)
par: Tabassum, Nawrin, et autres
Publié: (2024)
Privacy-preserving Fuzzy Name Matching for Sharing Financial Intelligence
par: Kasyap, Harsh, et autres
Publié: (2024)
par: Kasyap, Harsh, et autres
Publié: (2024)
Privacy preserving layer partitioning for Deep Neural Network models
par: Rajasekar, Kishore, et autres
Publié: (2024)
par: Rajasekar, Kishore, et autres
Publié: (2024)
Documents similaires
-
Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings
par: Arazzi, Marco, et autres
Publié: (2025) -
Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings
par: Doriguzzi-Corin, Roberto, et autres
Publié: (2025) -
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
par: Ma, Jing, et autres
Publié: (2021) -
FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning
par: Darwish, Rami, et autres
Publié: (2025) -
Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning
par: Zhou, Lijing, et autres
Publié: (2022)