Cover Image

Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dorfman, Ron, Yehya, Naseem, Levy, Kfir Y.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Approximate Agreement Algorithms for Byzantine Collaborative Learning
by: Cambus, Mélanie, et al.
Published: (2025)

Centroid Approximation for Byzantine-Tolerant Federated Learning
by: Cambus, Mélanie, et al.
Published: (2025)

Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering
by: Liu, Changxin, et al.
Published: (2024)

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
by: Ergisi, Sena, et al.
Published: (2025)

SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening
by: Rangwala, Murtaza, et al.
Published: (2025)

No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
by: Xing, Zhibo, et al.
Published: (2024)

Asynchronous Byzantine Federated Learning
by: Cox, Bart, et al.
Published: (2024)

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

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

GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
by: Belal, Yacine, et al.
Published: (2025)

Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
by: Ye, Haoxiang, et al.
Published: (2025)

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)

On the Byzantine-Resilience of Distillation-Based Federated Learning
by: Roux, Christophe, et al.
Published: (2024)

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)

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

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

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning
by: Xia, Yue, et al.
Published: (2025)

Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning
by: Xiao, Bingnan, et al.
Published: (2026)

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

Proximal Byzantine Consensus
by: Shadmon, Roy, et al.
Published: (2024)

Byzantine Agreement with Predictions
by: Ben-David, Naama, et al.
Published: (2025)

Byzantine Stable Matching
by: Constantinescu, Andrei, et al.
Published: (2025)

FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
by: Lee, Younghan, et al.
Published: (2024)

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

BeRGeR: Byzantine-Robust Geometric Routing
by: Zaz, Brown, et al.
Published: (2024)

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

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

Asynchronous Secure Federated Learning with Byzantine aggregators
by: Del Pozzo, Antonella, et al.
Published: (2026)

On the Solvability of Byzantine-tolerant Reliable Communication in Dynamic Networks
by: Bonomi, Silvia, et al.
Published: (2025)

Partition Detection in Byzantine Networks
by: Bromberg, Yérom-David, et al.
Published: (2024)

Byzantine-Resilient Population Protocols
by: Busch, Costas, et al.
Published: (2021)

On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks
by: Hairi, et al.
Published: (2024)

High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
by: Liu, Wenyu, et al.
Published: (2023)

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning
by: Lan, Muhang, et al.
Published: (2025)

Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
by: Yue, Kai, et al.
Published: (2024)

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

Do We Really Need to Design New Byzantine-robust Aggregation Rules?
by: Fang, Minghong, et al.
Published: (2025)

Validity in Network-Agnostic Byzantine Agreement
by: Constantinescu, Andrei, et al.
Published: (2024)