Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
Fuente:
arXiv
Saved in:
| Main Authors: | Ye, Haoxiang, Sun, Tao, Ling, Qing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
by: Ye, Haoxiang, et al.
Published: (2023)
by: Ye, Haoxiang, et al.
Published: (2023)
Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
by: Zuo, Shiyuan, et al.
Published: (2024)
by: Zuo, Shiyuan, et al.
Published: (2024)
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data
by: Aketi, Sai Aparna, et al.
Published: (2024)
by: Aketi, Sai Aparna, et al.
Published: (2024)
Byzantine-Robust Decentralized Federated Learning
by: Fang, Minghong, et al.
Published: (2024)
by: Fang, Minghong, et al.
Published: (2024)
Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening
by: Rangwala, Murtaza, et al.
Published: (2025)
by: Rangwala, Murtaza, et al.
Published: (2025)
On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks
by: Hairi, et al.
Published: (2024)
by: Hairi, et al.
Published: (2024)
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
by: Dorfman, Ron, et al.
Published: (2024)
by: Dorfman, Ron, et al.
Published: (2024)
Spectral Sentinel: Scalable Byzantine-Robust Decentralized Federated Learning via Sketched Random Matrix Theory on Blockchain
by: Mishra, Animesh
Published: (2025)
by: Mishra, Animesh
Published: (2025)
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
by: Xiong, Guojun, et al.
Published: (2023)
by: Xiong, Guojun, et al.
Published: (2023)
On the Byzantine-Resilience of Distillation-Based Federated Learning
by: Roux, Christophe, et al.
Published: (2024)
by: Roux, Christophe, et al.
Published: (2024)
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
by: Pan, Qiying, et al.
Published: (2023)
by: Pan, Qiying, et al.
Published: (2023)
Convergence Analysis of Split Federated Learning on Heterogeneous Data
by: Han, Pengchao, et al.
Published: (2024)
by: Han, Pengchao, et al.
Published: (2024)
Approximate Agreement Algorithms for Byzantine Collaborative Learning
by: Cambus, Mélanie, et al.
Published: (2025)
by: Cambus, Mélanie, et al.
Published: (2025)
Centroid Approximation for Byzantine-Tolerant Federated Learning
by: Cambus, Mélanie, et al.
Published: (2025)
by: Cambus, Mélanie, et al.
Published: (2025)
Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning
by: Xia, Yue, et al.
Published: (2025)
by: Xia, Yue, et al.
Published: (2025)
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
by: Belal, Yacine, et al.
Published: (2025)
by: Belal, Yacine, et al.
Published: (2025)
SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data
by: Yang, Mingkun, et al.
Published: (2025)
by: Yang, Mingkun, et al.
Published: (2025)
Exposing the Vulnerability of Decentralized Learning to Membership Inference Attacks Through the Lens of Graph Mixing
by: Touat, Ousmane, et al.
Published: (2024)
by: Touat, Ousmane, et al.
Published: (2024)
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
by: Xu, Zhangchen, et al.
Published: (2024)
by: Xu, Zhangchen, et al.
Published: (2024)
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
by: Choudhary, Sakshi, et al.
Published: (2024)
by: Choudhary, Sakshi, et al.
Published: (2024)
Decentralized Learning Made Easy with DecentralizePy
by: Dhasade, Akash, et al.
Published: (2023)
by: Dhasade, Akash, et al.
Published: (2023)
Local Gradient Regulation Stabilizes Federated Learning under Client Heterogeneity
by: Luo, Ping, et al.
Published: (2026)
by: Luo, Ping, et al.
Published: (2026)
Dynamic Topology Optimization for Non-IID Data in Decentralized Learning
by: Cox, Bart, et al.
Published: (2026)
by: Cox, Bart, et al.
Published: (2026)
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data
by: Jin, Richeng, et al.
Published: (2024)
by: Jin, Richeng, et al.
Published: (2024)
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
by: Guo, Shunxin, et al.
Published: (2025)
by: Guo, Shunxin, et al.
Published: (2025)
Convergence Analysis of Decentralized ASGD
by: Tosi, Mauro DL, et al.
Published: (2023)
by: Tosi, Mauro DL, et al.
Published: (2023)
Fair Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
by: Ergisi, Sena, et al.
Published: (2025)
by: Ergisi, Sena, et al.
Published: (2025)
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering
by: Liu, Changxin, et al.
Published: (2024)
by: Liu, Changxin, et al.
Published: (2024)
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
by: Xu, Jiahao, et al.
Published: (2024)
by: Xu, Jiahao, et al.
Published: (2024)
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
by: Huang, Jianjun, et al.
Published: (2024)
by: Huang, Jianjun, et al.
Published: (2024)
Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
by: Colosi, Mario, et al.
Published: (2025)
by: Colosi, Mario, et al.
Published: (2025)
An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data
by: Zhang, Jiaojiao, et al.
Published: (2025)
by: Zhang, Jiaojiao, et al.
Published: (2025)
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
by: Crawshaw, Michael, et al.
Published: (2024)
by: Crawshaw, Michael, et al.
Published: (2024)
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning
by: Luo, Kangyang, et al.
Published: (2024)
by: Luo, Kangyang, et al.
Published: (2024)
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
by: Guo, Fucheng, et al.
Published: (2025)
by: Guo, Fucheng, et al.
Published: (2025)
Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data
by: Chen, Yiyue, et al.
Published: (2025)
by: Chen, Yiyue, et al.
Published: (2025)
Similar Items
-
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
by: Ye, Haoxiang, et al.
Published: (2023) -
Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026) -
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
by: Zuo, Shiyuan, et al.
Published: (2024) -
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025) -
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data
by: Aketi, Sai Aparna, et al.
Published: (2024)