Imagen de Portada

Hybrid Federated Learning for Noise-Robust Training

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Yongjun, Park, Hyeongjun, Kim, Hwanjin, Choi, Junil
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence Information Theory Signal Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Machine Learning-based Channel Prediction in Wideband Massive MIMO Systems with Small Overhead for Online Training
por: Ko, Beomsoo, et al.
Publicado: (2024)

Meta-Learning-Based People Counting and Localization Models Employing CSI from Commodity WiFi NICs
por: Cha, Jihoon, et al.
Publicado: (2025)

Machine Learning for Future Wireless Communications: Channel Prediction Perspectives
por: Kim, Hwanjin, et al.
Publicado: (2025)

Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?
por: Kim, Hwanjin, et al.
Publicado: (2022)

Analysis of Beam Misalignment Effect in Inter-Satellite FSO Links
por: Kim, Minje, et al.
Publicado: (2025)

Downlink Channel Estimation for mmWave Systems with Impulsive Interference
por: Park, Kwonyeol, et al.
Publicado: (2025)

Efficient Solvers for Coupling-Aware Beamforming in Continuous Aperture Arrays
por: Lee, Geonhee, et al.
Publicado: (2026)

A Machine Learning based Hybrid Receiver for 5G NR PRACH
por: Singh, Rohit, et al.
Publicado: (2024)

MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction
por: Djuhera, Aladin, et al.
Publicado: (2026)

Stochastic Geometry Analysis of RIS-Assisted Cellular Networks with Reflective Intelligent Surfaces on Roads
por: Choi, Chang-Sik, et al.
Publicado: (2024)

End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
por: Gümüs, Kadir, et al.
Publicado: (2019)

Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework
por: Jin, Zhenzhou, et al.
Publicado: (2026)

Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks
por: Mamillapalli, Pujitha, et al.
Publicado: (2026)

E2E Learning Massive MIMO for Multimodal Semantic Non-Orthogonal Transmission and Fusion
por: Wu, Minghui, et al.
Publicado: (2025)

Efficient Beamforming Optimization for STAR-RIS-Assisted Communications: A Gradient-Based Meta Learning Approach
por: Yang, Dongdong, et al.
Publicado: (2025)

Robust Transmission Design for Active RIS-Aided Systems
por: Yang, Jinho, et al.
Publicado: (2025)

Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control
por: Kim, Yongjun, et al.
Publicado: (2024)

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G
por: Bian, Kejia, et al.
Publicado: (2026)

DNN-based Methods of Jointly Sensing Number and Directions of Targets via a Green Massive H2AD MIMO Receiver
por: Deng, Bin, et al.
Publicado: (2025)

Centimeter Positioning Accuracy using AI/ML for 6G Applications
por: Kotturi, Sai Prasanth, et al.
Publicado: (2024)

A Survey on Integrated Sensing, Communication, and Computation
por: Wen, Dingzhu, et al.
Publicado: (2024)

The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Random Access in Cellular IoT
por: Zhu, Xin, et al.
Publicado: (2024)

Collaborative Edge AI Inference over Cloud-RAN
por: Zhang, Pengfei, et al.
Publicado: (2024)

ToDMA: Large Model-Driven Token-Domain Multiple Access for Semantic Communications
por: Qiao, Li, et al.
Publicado: (2025)

Universal Auto-encoder Framework for MIMO CSI Feedback
por: So, Jinhyun, et al.
Publicado: (2024)

Model-based learning for multi-antenna multi-frequency location-to-channel mapping
por: Chatelier, Baptiste, et al.
Publicado: (2024)

Model-based Implicit Neural Representation for sub-wavelength Radio Localization
por: Chatelier, Baptiste, et al.
Publicado: (2025)

Enhancements for 5G NR PRACH Reception: An AI/ML Approach
por: Singh, Rohit, et al.
Publicado: (2024)

Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
por: Chatelier, Baptiste, et al.
Publicado: (2024)

Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions
por: Adibi, Arman, et al.
Publicado: (2024)

FedCova: Robust Federated Covariance Learning Against Noisy Labels
por: Zhong, Xiangyu, et al.
Publicado: (2026)

A Bayesian Framework For Cascaded Channel Estimation in RIS-Aided mmWave Systems
por: Lee, Gyoseung, et al.
Publicado: (2025)

RIS-Enabled Cellular Systems Operated by Different Service Providers
por: Lee, Hyeongtaek, et al.
Publicado: (2024)

Smart Resource Allocation at mmWave/THz Frequencies with Cooperative Rate-Splitting
por: Cho, Hyesang, et al.
Publicado: (2024)

Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning
por: Fang, Wenzhi, et al.
Publicado: (2023)

Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks
por: Park, Seong-Joon, et al.
Publicado: (2025)

Robust Blind Channel Estimation for Bursty Impulsive Noise with a Constrained EM Approach
por: Chen, Chin-Hung, et al.
Publicado: (2025)

Random Multiplexing
por: Liu, Lei, et al.
Publicado: (2025)

Feedback Lunch: Learned Feedback Codes for Secure Communications
por: Zhou, Yingyao, et al.
Publicado: (2025)

Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
por: Chen, Jiazheng, et al.
Publicado: (2022)