Embedding Byzantine Fault Tolerance into Federated Learning via Consistency Scoring
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Youngjoon, Gong, Jinu, Kang, Joonhyuk |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
by: Lee, Youngjoon, et al.
Published: (2024)
by: Lee, Youngjoon, et al.
Published: (2024)
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment
by: Yu, Seunghun, et al.
Published: (2025)
by: Yu, Seunghun, et al.
Published: (2025)
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Debunking Optimization Myths in Federated Learning for Medical Image Classification
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Beyond Fixed Rounds: Data-Free Early Stopping for Practical Federated Learning
by: Lee, Youngjoon, et al.
Published: (2026)
by: Lee, Youngjoon, et al.
Published: (2026)
Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
by: Ryum, Keumseo, et al.
Published: (2025)
by: Ryum, Keumseo, et al.
Published: (2025)
Forecasting-based Biomedical Time-series Data Synthesis for Open Data and Robust AI
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions
by: Lee, Youngjoon, et al.
Published: (2024)
by: Lee, Youngjoon, et al.
Published: (2024)
On the Byzantine Fault Tolerance of signSGD with Majority Vote
by: Mengoli, Emanuele, et al.
Published: (2025)
by: Mengoli, Emanuele, et al.
Published: (2025)
Practical Validity Conditions for Byzantine-Tolerant Federated Learning
by: Cambus, Mélanie, et al.
Published: (2026)
by: Cambus, Mélanie, et al.
Published: (2026)
GeFL: Model-Agnostic Federated Learning with Generative Models
by: Kang, Honggu, et al.
Published: (2024)
by: Kang, Honggu, et al.
Published: (2024)
Centroid Approximation for Byzantine-Tolerant Federated Learning
by: Cambus, Mélanie, et al.
Published: (2025)
by: Cambus, Mélanie, et al.
Published: (2025)
NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients
by: Kang, Honggu, et al.
Published: (2023)
by: Kang, Honggu, et al.
Published: (2023)
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
by: Jordan, Philip, et al.
Published: (2024)
by: Jordan, Philip, et al.
Published: (2024)
MIMO Channel Prediction via Deep Learning-based Conformal Bayes Filter
by: Kim, Dongwon, et al.
Published: (2026)
by: Kim, Dongwon, et al.
Published: (2026)
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
by: Yu, Seunghun, et al.
Published: (2025)
by: Yu, Seunghun, et al.
Published: (2025)
Energy-Efficient Secure Communications via Joint Optimization of UAV Trajectory and Movable-Antenna Array Beamforming
by: Kim, Sanghyeok, et al.
Published: (2025)
by: Kim, Sanghyeok, et al.
Published: (2025)
TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers
by: Hwang, Younghye, et al.
Published: (2025)
by: Hwang, Younghye, et al.
Published: (2025)
Byzantine-Robust Decentralized Federated Learning
by: Fang, Minghong, et al.
Published: (2024)
by: Fang, Minghong, et al.
Published: (2024)
Byzantine-Resilient Federated Learning via Distributed Optimization
by: Xia, Yufei, et al.
Published: (2025)
by: Xia, Yufei, et al.
Published: (2025)
Robust Federated Learning via Byzantine Filtering over Encrypted Updates
by: Bendoukha, Adda Akram, et al.
Published: (2026)
by: Bendoukha, Adda Akram, et al.
Published: (2026)
Certifiably Byzantine-Robust Federated Conformal Prediction
by: Kang, Mintong, et al.
Published: (2024)
by: Kang, Mintong, et al.
Published: (2024)
Byzantine Resilient Federated Multi-Task Representation Learning
by: Le, Tuan, et al.
Published: (2025)
by: Le, Tuan, et al.
Published: (2025)
Byzantine-Robust Federated Learning with Learnable Aggregation Weights
by: Parsa, Javad, et al.
Published: (2025)
by: Parsa, Javad, et al.
Published: (2025)
BOBA: Byzantine-Robust Federated Learning with Label Skewness
by: Bao, Wenxuan, et al.
Published: (2022)
by: Bao, Wenxuan, et al.
Published: (2022)
Robust Multi-Agent LLMs under Byzantine Faults
by: Lee, Haejoon, et al.
Published: (2026)
by: Lee, Haejoon, et al.
Published: (2026)
Bant: Byzantine Antidote via Trial Function and Trust Scores
by: Molodtsov, Gleb, et al.
Published: (2025)
by: Molodtsov, Gleb, et al.
Published: (2025)
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
by: Ma, Hui, et al.
Published: (2025)
by: Ma, Hui, et al.
Published: (2025)
Dynamic Meta-Layer Aggregation for Byzantine-Robust Federated Learning
by: Das, Reek, et al.
Published: (2026)
by: Das, Reek, et al.
Published: (2026)
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
by: Liu, Yuchen, et al.
Published: (2025)
by: Liu, Yuchen, et al.
Published: (2025)
Nesterov-Accelerated Robust Federated Learning Over Byzantine Adversaries
by: Xu, Lihan, et al.
Published: (2025)
by: Xu, Lihan, et al.
Published: (2025)
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
by: Lee, Younghan, et al.
Published: (2024)
by: Lee, Younghan, et al.
Published: (2024)
Asynchronous Byzantine Federated Learning
by: Cox, Bart, et al.
Published: (2024)
by: Cox, Bart, et al.
Published: (2024)
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
by: Cajaraville-Aboy, Diego, et al.
Published: (2024)
by: Cajaraville-Aboy, Diego, et al.
Published: (2024)
Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models
by: Seo, Jiwan, et al.
Published: (2024)
by: Seo, Jiwan, et al.
Published: (2024)
Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
by: Yao, Jiacheng, et al.
Published: (2025)
by: Yao, Jiacheng, et al.
Published: (2025)
Similar Items
-
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
by: Lee, Youngjoon, et al.
Published: (2024) -
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
by: Lee, Youngjoon, et al.
Published: (2025) -
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions
by: Lee, Youngjoon, et al.
Published: (2025) -
CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment
by: Yu, Seunghun, et al.
Published: (2025) -
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes
by: Lee, Youngjoon, et al.
Published: (2025)