Imagen de Portada

FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shen, Jie, Yang, Shusen, Zhao, Cong, Ren, Xuebin, Zhao, Peng, Yang, Yuqian, Han, Qing, Wu, Shuaijun
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

VertiMRF: Differentially Private Vertical Federated Data Synthesis
por: Zhao, Fangyuan, et al.
Publicado: (2024)

Belt and Braces: When Federated Learning Meets Differential Privacy
por: Ren, Xuebin, et al.
Publicado: (2024)

FairGFL: Privacy-Preserving Fairness-Aware Federated Learning with Overlapping Subgraphs
por: Zhou, Zihao, et al.
Publicado: (2025)

TelOps: AI-driven Operations and Maintenance for Telecommunication Networks
por: Yang, Yuqian, et al.
Publicado: (2024)

Review of Mathematical Optimization in Federated Learning
por: Yang, Shusen, et al.
Publicado: (2024)

Understanding Byzantine Robustness in Federated Learning with A Black-box Server
por: Zhao, Fangyuan, et al.
Publicado: (2024)

Rethinking Layer-wise Gaussian Noise Injection: Bridging Implicit Objectives and Privacy Budget Allocation
por: Tan, Qifeng, et al.
Publicado: (2025)

Reducing Traffic Wastage in Video Streaming via Bandwidth-Efficient Bitrate Adaptation
por: Su, Hairong, et al.
Publicado: (2024)

Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams
por: Li, Xinyu, et al.
Publicado: (2025)

FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
por: Kou, Zhiqiang, et al.
Publicado: (2026)

Generative Model-Based Feature Attention Module for Video Action Analysis
por: Wang, Guiqin, et al.
Publicado: (2025)

A Fault Diagnosis Method for Avionics Equipment Based on SMOTEWB‐LGBM
por: Gen Li, et al.
Publicado: (2024)

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis
por: Wang, Ziyan, et al.
Publicado: (2024)

EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning
por: Hao, Yijun, et al.
Publicado: (2024)

FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
por: Ma, Evelyn, et al.
Publicado: (2024)

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks
por: Nakarmi, Suprim, et al.
Publicado: (2026)

FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
por: Yang, Shangshang, et al.
Publicado: (2025)

ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data
por: Zhao, Haodong, et al.
Publicado: (2026)

FedMT: Federated Learning with Mixed-type Labels
por: Zhang, Qiong, et al.
Publicado: (2022)

FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
por: Kang, Yan, et al.
Publicado: (2020)

FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
por: Ji, Xinyuan, et al.
Publicado: (2024)

Nullspace-based Fault Diagnosis for Closed-Loop Mechatronic Systems with Application to Semiconductor Equipment
por: Classens, Koen, et al.
Publicado: (2026)

P‐81: A Novel‐Bin Mixing Transfer Technology Based on Die Bonding Equipment for Mini/MicroLED Display
por: Yatong Qiao, et al.
Publicado: (2025)

HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings
por: Li, Xiaochen, et al.
Publicado: (2026)

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
por: Sun, Zhaobin, et al.
Publicado: (2024)

VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking
por: Tan, Juntao, et al.
Publicado: (2025)

FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
por: Jing, Shusen, et al.
Publicado: (2024)

TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt
por: Wu, Xiangyu, et al.
Publicado: (2024)

FedSem: A Resource Allocation Scheme for Federated Learning Assisted Semantic Communication
por: Zhou, Xinyu, et al.
Publicado: (2025)

Stability Analysis of Monolithic Globally Divergence-Free ALE-HDG Methods for Fluid-Structure Interaction
por: Liu, Shuaijun, et al.
Publicado: (2026)

FedSDR: Federated Self-Distillation with Rectification
por: Ren, Ziheng, et al.
Publicado: (2026)

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning
por: Shen, Tao, et al.
Publicado: (2025)

Fault Detection Method of Medical Equipment Based on Multi-Index Electrical Performance Parameters
por: Xiaoyu Chen, et al.
Publicado: (2024)

Global-focal Adaptation with Information Separation for Noise-robust Transfer Fault Diagnosis
por: Ren, Junyu, et al.
Publicado: (2025)

Safety Fault Prediction and Diagnosis of Power Measurement Equipment Based on 6G Big Data Analysis
por: Yin Gao
Publicado: (2025)

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
por: Dai, Yajiao, et al.
Publicado: (2025)

FedNoisy: Federated Noisy Label Learning Benchmark
por: Liang, Siqi, et al.
Publicado: (2023)

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
por: Zhao, Dandan, et al.
Publicado: (2025)

FedOptimus: Optimizing Vertical Federated Learning for Scalability and Efficiency
por: Shrivastava, Nikita, et al.
Publicado: (2025)

FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
por: Guo, Fucheng, et al.
Publicado: (2025)