Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Gong, Zirui, Zhang, Yanjun, Zhang, Leo Yu, Zhang, Zhaoxi, Xiang, Yong, Pan, Shirui |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Beyond Denial-of-Service: The Puppeteer's Attack for Fine-Grained Control in Ranking-Based Federated Learning
por: Chen, Zhihao, et al.
Publicado: (2026)
por: Chen, Zhihao, et al.
Publicado: (2026)
FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
por: Jiang, Haocheng, et al.
Publicado: (2025)
por: Jiang, Haocheng, et al.
Publicado: (2025)
Byzantine-Robust Decentralized Federated Learning
por: Fang, Minghong, et al.
Publicado: (2024)
por: Fang, Minghong, et al.
Publicado: (2024)
Provably Robust Federated Reinforcement Learning
por: Fang, Minghong, et al.
Publicado: (2025)
por: Fang, Minghong, et al.
Publicado: (2025)
DarkFed: A Data-Free Backdoor Attack in Federated Learning
por: Li, Minghui, et al.
Publicado: (2024)
por: Li, Minghui, et al.
Publicado: (2024)
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
por: Xing, Zhibo, et al.
Publicado: (2024)
por: Xing, Zhibo, et al.
Publicado: (2024)
PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks
por: Zhang, Hongliang, et al.
Publicado: (2025)
por: Zhang, Hongliang, et al.
Publicado: (2025)
Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
por: Jiang, Siyang, et al.
Publicado: (2024)
por: Jiang, Siyang, et al.
Publicado: (2024)
DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
por: Han, Baofu, et al.
Publicado: (2025)
por: Han, Baofu, et al.
Publicado: (2025)
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks
por: Xu, Yichang, et al.
Publicado: (2024)
por: Xu, Yichang, et al.
Publicado: (2024)
Celtibero: Robust Layered Aggregation for Federated Learning
por: Molina-Coronado, Borja
Publicado: (2024)
por: Molina-Coronado, Borja
Publicado: (2024)
Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning
por: Zhang, Meiying, et al.
Publicado: (2024)
por: Zhang, Meiying, et al.
Publicado: (2024)
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning
por: Tang, Jiaxang, et al.
Publicado: (2024)
por: Tang, Jiaxang, et al.
Publicado: (2024)
An Adaptive Differential Privacy Method Based on Federated Learning
por: Wang, Zhiqiang, et al.
Publicado: (2024)
por: Wang, Zhiqiang, et al.
Publicado: (2024)
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning
por: Zhang, Hangtao, et al.
Publicado: (2023)
por: Zhang, Hangtao, et al.
Publicado: (2023)
Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends
por: Li, Kai, et al.
Publicado: (2025)
por: Li, Kai, et al.
Publicado: (2025)
Byzantine-Robust Federated Learning Using Generative Adversarial Networks
por: Zafar, Usama, et al.
Publicado: (2025)
por: Zafar, Usama, et al.
Publicado: (2025)
Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
por: Fu, Tianxing, et al.
Publicado: (2025)
por: Fu, Tianxing, et al.
Publicado: (2025)
LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT
por: Chen, Handi, et al.
Publicado: (2025)
por: Chen, Handi, et al.
Publicado: (2025)
DP$^2$-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization
por: Zhang, Zhenxiao, et al.
Publicado: (2024)
por: Zhang, Zhenxiao, et al.
Publicado: (2024)
A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks
por: Wu, Wenbo, et al.
Publicado: (2024)
por: Wu, Wenbo, et al.
Publicado: (2024)
PCDM: A Diffusion-Based Data Poisoning Attack Against Federated Learning Systems
por: Sun, Wei, et al.
Publicado: (2026)
por: Sun, Wei, et al.
Publicado: (2026)
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
por: Zhao, Zhihui, et al.
Publicado: (2025)
por: Zhao, Zhihui, et al.
Publicado: (2025)
AetherWeave: Sybil-Resistant Robust Peer Discovery with Stake
por: Alpturer, Kaya, et al.
Publicado: (2026)
por: Alpturer, Kaya, et al.
Publicado: (2026)
BlueBottle: Fast and Robust Blockchains through Subsystem Specialization
por: Vos, Preston Vander, et al.
Publicado: (2025)
por: Vos, Preston Vander, et al.
Publicado: (2025)
A Survey for Federated Learning Evaluations: Goals and Measures
por: Chai, Di, et al.
Publicado: (2023)
por: Chai, Di, et al.
Publicado: (2023)
OrbitBFT: Enabling Scalable and Robust BFT Consensus in LEO Constellations
por: Sun, Tianyi, et al.
Publicado: (2026)
por: Sun, Tianyi, et al.
Publicado: (2026)
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
por: Yan, Peishen, et al.
Publicado: (2023)
por: Yan, Peishen, et al.
Publicado: (2023)
Lightweight Federated Learning with Differential Privacy and Straggler Resilience
por: Hong, Shu, et al.
Publicado: (2024)
por: Hong, Shu, et al.
Publicado: (2024)
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning
por: Zhou, Anqi, et al.
Publicado: (2024)
por: Zhou, Anqi, et al.
Publicado: (2024)
The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks
por: Nguyen, Manh V., et al.
Publicado: (2025)
por: Nguyen, Manh V., et al.
Publicado: (2025)
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
por: Boitier, William, et al.
Publicado: (2024)
por: Boitier, William, et al.
Publicado: (2024)
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
por: Madduri, Ravi, et al.
Publicado: (2024)
por: Madduri, Ravi, et al.
Publicado: (2024)
Zaptos: Towards Optimal Blockchain Latency
por: Xiang, Zhuolun, et al.
Publicado: (2025)
por: Xiang, Zhuolun, et al.
Publicado: (2025)
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
por: Kang, Yan, et al.
Publicado: (2022)
por: Kang, Yan, et al.
Publicado: (2022)
When Quantum Federated Learning Meets Blockchain in 6G Networks
por: Nguyen, Dinh C., et al.
Publicado: (2025)
por: Nguyen, Dinh C., et al.
Publicado: (2025)
Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
por: Tanbhir, Gazi, et al.
Publicado: (2025)
por: Tanbhir, Gazi, et al.
Publicado: (2025)
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures
por: Hossain, Md Tamjid, et al.
Publicado: (2022)
por: Hossain, Md Tamjid, et al.
Publicado: (2022)
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation
por: Xu, Heng, et al.
Publicado: (2024)
por: Xu, Heng, et al.
Publicado: (2024)
CHRONOS: A Hardware-Assisted Phase-Decoupled Framework for Secure Federated Learning in IoT
por: Dang, Hung
Publicado: (2026)
por: Dang, Hung
Publicado: (2026)
Ejemplares similares
-
Beyond Denial-of-Service: The Puppeteer's Attack for Fine-Grained Control in Ranking-Based Federated Learning
por: Chen, Zhihao, et al.
Publicado: (2026) -
FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
por: Jiang, Haocheng, et al.
Publicado: (2025) -
Byzantine-Robust Decentralized Federated Learning
por: Fang, Minghong, et al.
Publicado: (2024) -
Provably Robust Federated Reinforcement Learning
por: Fang, Minghong, et al.
Publicado: (2025) -
DarkFed: A Data-Free Backdoor Attack in Federated Learning
por: Li, Minghui, et al.
Publicado: (2024)