Kalman Filter Aided Federated Koopman Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yutao, Chen, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning
by: Wang, Zhongwei, et al.
Published: (2025)
by: Wang, Zhongwei, et al.
Published: (2025)
Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs
by: Kiruluta, Andrew
Published: (2026)
by: Kiruluta, Andrew
Published: (2026)
Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications
by: Termehchi, Atefeh, et al.
Published: (2025)
by: Termehchi, Atefeh, et al.
Published: (2025)
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems
by: Chen, Jianqiao, et al.
Published: (2025)
by: Chen, Jianqiao, et al.
Published: (2025)
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)
Energy-Efficient Federated Edge Learning For Small-Scale Datasets in Large IoT Networks
by: Xie, Haihui, et al.
Published: (2026)
by: Xie, Haihui, et al.
Published: (2026)
Load Balancing in Federated Learning
by: Javani, Alireza, et al.
Published: (2024)
by: Javani, Alireza, et al.
Published: (2024)
Decoupled Subgraph Federated Learning
by: Aliakbari, Javad, et al.
Published: (2024)
by: Aliakbari, Javad, et al.
Published: (2024)
Personalized Federated Learning with Attention-based Client Selection
by: Chen, Zihan, et al.
Published: (2023)
by: Chen, Zihan, et al.
Published: (2023)
Learning Capacity: A Measure of the Effective Dimensionality of a Model
by: Chen, Daiwei, et al.
Published: (2023)
by: Chen, Daiwei, et al.
Published: (2023)
Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching
by: Tharakan, Krishnendu S., et al.
Published: (2025)
by: Tharakan, Krishnendu S., et al.
Published: (2025)
A Hierarchical Federated Learning Approach for the Internet of Things
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
ProFL: Performative Robust Optimal Federated Learning
by: Zheng, Xue, et al.
Published: (2024)
by: Zheng, Xue, et al.
Published: (2024)
Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning
by: Ghaleb, Mustafa, et al.
Published: (2025)
by: Ghaleb, Mustafa, et al.
Published: (2025)
Digital Over-the-Air Federated Learning in Multi-Antenna Systems
by: Wang, Sihua, et al.
Published: (2023)
by: Wang, Sihua, et al.
Published: (2023)
Balancing Client Participation in Federated Learning Using AoI
by: Javani, Alireza, et al.
Published: (2025)
by: Javani, Alireza, et al.
Published: (2025)
Generalization in Federated Learning: A Conditional Mutual Information Framework
by: Wang, Ziqiao, et al.
Published: (2025)
by: Wang, Ziqiao, et al.
Published: (2025)
Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning
by: Jeong, Eunjeong, et al.
Published: (2025)
by: Jeong, Eunjeong, et al.
Published: (2025)
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning
by: Peng, Yubo, et al.
Published: (2024)
by: Peng, Yubo, et al.
Published: (2024)
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
by: Barnes, L. P., et al.
Published: (2022)
by: Barnes, L. P., et al.
Published: (2022)
Federated Learning via Lattice Joint Source-Channel Coding
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
Generative AI-Driven Phase Control for RIS-Aided Cell-Free Massive MIMO Systems
by: Patel, Kalpesh K., et al.
Published: (2026)
by: Patel, Kalpesh K., et al.
Published: (2026)
FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks
by: Chen, Qian, et al.
Published: (2024)
by: Chen, Qian, et al.
Published: (2024)
Decentralized Fairness Aware Multi Task Federated Learning for VR Network
by: Tharakan, Krishnendu S., et al.
Published: (2025)
by: Tharakan, Krishnendu S., et al.
Published: (2025)
Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
by: Wen, Dingzhu, et al.
Published: (2025)
by: Wen, Dingzhu, et al.
Published: (2025)
Personalized Over-the-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces
by: Mao, Jiayu, et al.
Published: (2024)
by: Mao, Jiayu, et al.
Published: (2024)
A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning
by: Filatrella, Dario, et al.
Published: (2026)
by: Filatrella, Dario, et al.
Published: (2026)
FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
by: Xie, Sijing, et al.
Published: (2025)
by: Xie, Sijing, et al.
Published: (2025)
GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication
by: Nugroho, Vendi Ardianto, et al.
Published: (2025)
by: Nugroho, Vendi Ardianto, et al.
Published: (2025)
Spectrum Prediction in the Fractional Fourier Domain with Adaptive Filtering
by: Qin, Yanghao, et al.
Published: (2025)
by: Qin, Yanghao, et al.
Published: (2025)
Adaptive Federated Learning Over the Air
by: Wang, Chenhao, et al.
Published: (2024)
by: Wang, Chenhao, et al.
Published: (2024)
Computation-aware Energy-harvesting Federated Learning: Cyclic Scheduling with Selective Participation
by: Jeong, Eunjeong, et al.
Published: (2025)
by: Jeong, Eunjeong, et al.
Published: (2025)
Joint Model Pruning and Resource Allocation for Wireless Time-triggered Federated Learning
by: Zhang, Xinlu, et al.
Published: (2024)
by: Zhang, Xinlu, et al.
Published: (2024)
Generative Model-Aided Continual Learning for CSI Feedback in FDD mMIMO-OFDM Systems
by: Liu, Guijun, et al.
Published: (2025)
by: Liu, Guijun, et al.
Published: (2025)
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing
by: Chiarani, Martino, et al.
Published: (2025)
by: Chiarani, Martino, et al.
Published: (2025)
Harnessing the Power of Federated Learning in Federated Contextual Bandits
by: Shi, Chengshuai, et al.
Published: (2023)
by: Shi, Chengshuai, et al.
Published: (2023)
Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Framework
by: Mao, Jiayu, et al.
Published: (2024)
by: Mao, Jiayu, et al.
Published: (2024)
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
by: Shi, Laixi, et al.
Published: (2023)
by: Shi, Laixi, et al.
Published: (2023)
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
by: Sefidgaran, Milad, et al.
Published: (2023)
by: Sefidgaran, Milad, et al.
Published: (2023)
AI-Aided Kalman Filters
by: Shlezinger, Nir, et al.
Published: (2024)
by: Shlezinger, Nir, et al.
Published: (2024)
Similar Items
-
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning
by: Wang, Zhongwei, et al.
Published: (2025) -
Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs
by: Kiruluta, Andrew
Published: (2026) -
Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications
by: Termehchi, Atefeh, et al.
Published: (2025) -
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems
by: Chen, Jianqiao, et al.
Published: (2025) -
Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
by: Yao, Jiacheng, et al.
Published: (2025)