Cover Image

No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xing, Zhibo, Zhang, Zijian, Zhang, Zi'ang, Liu, Jiamou, Zhu, Liehuang, Russello, Giovanni
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
by: Jiang, Siyang, et al.
Published: (2024)

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
by: Han, Baofu, et al.
Published: (2025)

Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
by: Zhang, Baolei, et al.
Published: (2025)

On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
by: Ye, Haoxiang, et al.
Published: (2023)

Byzantine-Robust Decentralized Federated Learning
by: Fang, Minghong, et al.
Published: (2024)

Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
by: Xu, Zhangchen, et al.
Published: (2024)

FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
by: Jiang, Haocheng, et al.
Published: (2025)

Survey on Quality Assurance of Smart Contracts
by: Wei, Zhiyuan, et al.
Published: (2023)

Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
by: Madduri, Ravi, et al.
Published: (2024)

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
by: Tanbhir, Gazi, et al.
Published: (2025)

Byzantine-Robust Federated Learning Using Generative Adversarial Networks
by: Zafar, Usama, et al.
Published: (2025)

Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics
by: Sarraf, Gaurav, et al.
Published: (2026)

PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks
by: Zhang, Hongliang, et al.
Published: (2025)

Secure and Privacy-Preserving Vertical Federated Learning
by: Jin, Shan, et al.
Published: (2026)

HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
by: Chan, Yu Hin, et al.
Published: (2025)

Lightweight Federated Learning with Differential Privacy and Straggler Resilience
by: Hong, Shu, et al.
Published: (2024)

Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
by: Xu, Jiahao, et al.
Published: (2024)

The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks
by: Nguyen, Manh V., et al.
Published: (2025)

EVeCA: Efficient and Verifiable On-Chain Data Query Framework Using Challenge-Based Authentication
by: Shen, Meng, et al.
Published: (2024)

LIFT: Byzantine Resilient Hub-Sampling
by: Legheraba, Mohamed Amine, et al.
Published: (2026)

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
by: Hosain, Md. Tanzib, et al.
Published: (2025)

Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
by: Fu, Tianxing, et al.
Published: (2025)

Head Count: Privacy-Preserving Face-Based Crowd Monitoring
by: Marzani, Fatemeh, et al.
Published: (2026)

DeZent: Decentralized z-Anonymity with Privacy-Preserving Coordination
by: Brunn, Carolin, et al.
Published: (2026)

Byzantine Attacks Exploiting Penalties in Ethereum PoS
by: Pavloff, Ulysse, et al.
Published: (2024)

Juggernaut: Efficient Crypto-Agnostic Byzantine Agreement
by: Collins, Daniel, et al.
Published: (2024)

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy
by: Zhang, Xianzhi, et al.
Published: (2024)

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning
by: Xhemrishi, Marvin, et al.
Published: (2025)

A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
by: Mahmoud, Taha M., et al.
Published: (2025)

IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning
by: Riya, Farhin Farhad, et al.
Published: (2026)

Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises
by: Xia, Yue, et al.
Published: (2024)

Chop Chop: Byzantine Atomic Broadcast to the Network Limit
by: Camaioni, Martina, et al.
Published: (2023)

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
by: Li, Zhiqiang, et al.
Published: (2025)

HFIPay: Privacy-Preserving, Cross-Chain Cryptocurrency Payments to Human-Friendly Identifiers
by: Wang, Jian Sheng
Published: (2026)

Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
by: Zhang, Zhongjian, et al.
Published: (2025)

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025)

Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
by: Ozfatura, Emre, et al.
Published: (2024)

Adelie: Detection and prevention of Byzantine behaviour in DAG-based consensus protocols
by: Chursin, Andrey
Published: (2024)

SmartphoneDemocracy: Privacy-Preserving E-Voting on Decentralized Infrastructure using Novel European Identity
by: Jóźwik, Michał, et al.
Published: (2025)

Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation
by: Laskurain, Unai, et al.
Published: (2025)