Image de couverture de livre

Incentive-Aware Topology Design for Decentralized Federated Learning : A Decentralized Federated Learning With Reputation + Stake-Based Defense Against Byzantine Attacks

Fuente: Zenodo

Enregistré dans:

Détails bibliographiques
Auteur principal:	Khoshakhlagh, Sajjad
Format:	Recurso digital
Publié:	Zenodo 2025
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning
par: Li, Bin, et autres
Publié: (2025)

Byzantine-Robust Decentralized Federated Learning
par: Fang, Minghong, et autres
Publié: (2024)

Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning
par: Bhattacharya, Siddhartha, et autres
Publié: (2024)

AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
par: Dif, Meryem Malak, et autres
Publié: (2025)

Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
par: Cajaraville-Aboy, Diego, et autres
Publié: (2024)

Beyond Passive Aggregation: Active Auditing and Topology-Aware Defense in Decentralized Federated Learning
par: Pan, Sheng, et autres
Publié: (2026)

SpectralKrum: A Spectral-Geometric Defense Against Byzantine Attacks in Federated Learning
par: Tripathi, Aditya, et autres
Publié: (2025)

Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
par: Yue, Kai, et autres
Publié: (2024)

Trust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems
par: Shrestha, Ajay Kumar
Publié: (2026)

From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning
par: Feng, Chao, et autres
Publié: (2025)

Competitive Advantage Attacks to Decentralized Federated Learning
par: Jia, Yuqi, et autres
Publié: (2023)

Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow
par: Wang, Yuandou, et autres
Publié: (2025)

SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening
par: Rangwala, Murtaza, et autres
Publié: (2025)

Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
par: Lee, Seohyun, et autres
Publié: (2025)

Generalization Error Matters in Decentralized Learning Under Byzantine Attacks
par: Ye, Haoxiang, et autres
Publié: (2024)

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
par: Bouchiha, Mouhamed Amine, et autres
Publié: (2026)

MURIM: Multidimensional Reputation-based Incentive Mechanism for Federated Learning
par: Madabushi, Sindhuja, et autres
Publié: (2025)

Distribution-Aware Mobility-Assisted Decentralized Federated Learning
par: Reza, Md Farhamdur, et autres
Publié: (2025)

Decentralized Personalized Federated Learning
par: Kharrat, Salma, et autres
Publié: (2024)

Sparse Decentralized Federated Learning
par: Sha, Shan, et autres
Publié: (2023)

Decentralized Byzantine‐Resilient Dictionary Learning
par: Xiao Liu, et autres
Publié: (2025)

A Survey on Decentralized Federated Learning
par: Gabrielli, Edoardo, et autres
Publié: (2023)

OpenCLAW-Nexus: A Self-Reinforcing Trust Framework for Byzantine-Resilient Decentralized Federated Learning
par: Jia, Wenyang, et autres
Publié: (2026)

Dual-domain Defenses for Byzantine-resilient Decentralized Resource Allocation
par: Wang, Runhua, et autres
Publié: (2023)

DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences
par: Feng, Chao, et autres
Publié: (2025)

Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
par: Liu, Yuze, et autres
Publié: (2025)

Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification
par: Zhang, Zhibo, et autres
Publié: (2023)

GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
par: Gan, Xiaoyun, et autres
Publié: (2024)

Zero-Shot Decentralized Federated Learning
par: Masano, Alessio, et autres
Publié: (2025)

DFML: Decentralized Federated Mutual Learning
par: Khalil, Yasser H., et autres
Publié: (2024)

Certified Unlearning in Decentralized Federated Learning
par: Wu, Hengliang, et autres
Publié: (2026)

FLTG: Byzantine-Robust Federated Learning via Angle-Based Defense and Non-IID-Aware Weighting
par: Wen, Yanhua, et autres
Publié: (2025)

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
par: Liu, Yuchen, et autres
Publié: (2025)

Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
par: Jordan, Philip, et autres
Publié: (2024)

Fedstellar: A Platform for Decentralized Federated Learning
par: Beltrán, Enrique Tomás Martínez, et autres
Publié: (2023)

Decentralized Federated Learning: A Survey and Perspective
par: Yuan, Liangqi, et autres
Publié: (2023)

Trustless Federated Learning at Edge-Scale: A Compositional Architecture for Decentralized, Verifiable, and Incentive-Aligned Coordination
par: Onobhayedo, Pius, et autres
Publié: (2025)

Decentralized Fairness Aware Multi Task Federated Learning for VR Network
par: Tharakan, Krishnendu S., et autres
Publié: (2025)

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning
par: Hu, Gangqiang, et autres
Publié: (2024)

Spectral Sentinel: Scalable Byzantine-Robust Decentralized Federated Learning via Sketched Random Matrix Theory on Blockchain
par: Mishra, Animesh
Publié: (2025)