FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Kosolwattana, Tanapol, Wang, Huazheng, Kontar, Raed Al, Lin, Ying |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective
by: Kontar, Raed Al
Published: (2024)
by: Kontar, Raed Al
Published: (2024)
Online Learning of Optimal Sequential Testing Policies
by: Chen, Qiyuan, et al.
Published: (2025)
by: Chen, Qiyuan, et al.
Published: (2025)
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
by: Yue, Xubo, et al.
Published: (2021)
by: Yue, Xubo, et al.
Published: (2021)
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
by: Chen, Qiyuan, et al.
Published: (2024)
by: Chen, Qiyuan, et al.
Published: (2024)
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
by: Chung, Seokhyun, et al.
Published: (2024)
by: Chung, Seokhyun, et al.
Published: (2024)
Personalized PCA: Decoupling Shared and Unique Features
by: Shi, Naichen, et al.
Published: (2022)
by: Shi, Naichen, et al.
Published: (2022)
Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design
by: Yue, Xubo, et al.
Published: (2023)
by: Yue, Xubo, et al.
Published: (2023)
Language-Induced Priors for Domain Adaptation
by: Chen, Qiyuan, et al.
Published: (2026)
by: Chen, Qiyuan, et al.
Published: (2026)
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation
by: Chen, Qiyuan, et al.
Published: (2022)
by: Chen, Qiyuan, et al.
Published: (2022)
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
by: Shi, Naichen, et al.
Published: (2024)
by: Shi, Naichen, et al.
Published: (2024)
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
by: Chen, Hao, et al.
Published: (2021)
by: Chen, Hao, et al.
Published: (2021)
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023)
by: Hu, Jiuyun, et al.
Published: (2023)
Collaborative Contextual Bayesian Optimization
by: Chang, Chih-Yu, et al.
Published: (2026)
by: Chang, Chih-Yu, et al.
Published: (2026)
LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
by: Chang, Chih-Yu, et al.
Published: (2025)
by: Chang, Chih-Yu, et al.
Published: (2025)
A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines -- with Application to 3D Printing
by: Wang, Weishi, et al.
Published: (2025)
by: Wang, Weishi, et al.
Published: (2025)
Beyond Static Bias: Adaptive Multi-Fidelity Bandits with Improving Proxies
by: Lu, Muyun, et al.
Published: (2026)
by: Lu, Muyun, et al.
Published: (2026)
Behavioral Heterogeneity as Quantum-Inspired Representation
by: Elayan, Mohammad, et al.
Published: (2026)
by: Elayan, Mohammad, et al.
Published: (2026)
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
by: Wang, Zichen, et al.
Published: (2025)
by: Wang, Zichen, et al.
Published: (2025)
Pure Exploration in Asynchronous Federated Bandits
by: Wang, Zichen, et al.
Published: (2023)
by: Wang, Zichen, et al.
Published: (2023)
Improving Plasticity in Online Continual Learning via Collaborative Learning
by: Wang, Maorong, et al.
Published: (2023)
by: Wang, Maorong, et al.
Published: (2023)
An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning
by: Kakosimos, Panagiotis, et al.
Published: (2025)
by: Kakosimos, Panagiotis, et al.
Published: (2025)
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
by: Chakraborty, Souradip, et al.
Published: (2023)
by: Chakraborty, Souradip, et al.
Published: (2023)
Live-Evo: Online Evolution of Agentic Memory from Continuous Feedback
by: Zhang, Yaolun, et al.
Published: (2026)
by: Zhang, Yaolun, et al.
Published: (2026)
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
by: Yao, Yuan, et al.
Published: (2025)
by: Yao, Yuan, et al.
Published: (2025)
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation
by: Mukhtiar, Noorain, et al.
Published: (2026)
by: Mukhtiar, Noorain, et al.
Published: (2026)
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations
by: Guo, Qi, et al.
Published: (2024)
by: Guo, Qi, et al.
Published: (2024)
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
by: Wang, Zhiwei, et al.
Published: (2024)
by: Wang, Zhiwei, et al.
Published: (2024)
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
by: Zhao, Boxin, et al.
Published: (2021)
by: Zhao, Boxin, et al.
Published: (2021)
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation
by: Wang, Xiaohan, et al.
Published: (2025)
by: Wang, Xiaohan, et al.
Published: (2025)
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
by: Zhao, Yujie, et al.
Published: (2024)
by: Zhao, Yujie, et al.
Published: (2024)
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
by: Wang, Huan, et al.
Published: (2025)
by: Wang, Huan, et al.
Published: (2025)
Large-Small Model Collaborative Framework for Federated Continual Learning
by: Yu, Hao, et al.
Published: (2025)
by: Yu, Hao, et al.
Published: (2025)
A Novel Collaborative Framework for Efficient Synchronization in Split Federated Learning over Wireless Networks
by: Gao, Haoran, et al.
Published: (2025)
by: Gao, Haoran, et al.
Published: (2025)
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)
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
by: Lv, Fengling, et al.
Published: (2024)
by: Lv, Fengling, et al.
Published: (2024)
Budgeted Online Model Selection and Fine-Tuning via Federated Learning
by: Ghari, Pouya M., et al.
Published: (2024)
by: Ghari, Pouya M., et al.
Published: (2024)
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
by: Yu, Tianrun, et al.
Published: (2025)
by: Yu, Tianrun, et al.
Published: (2025)
Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity
by: Xiao, Qiao, et al.
Published: (2025)
by: Xiao, Qiao, et al.
Published: (2025)
Personalized Subgraph Federated Learning with Sheaf Collaboration
by: Liang, Wenfei, et al.
Published: (2025)
by: Liang, Wenfei, et al.
Published: (2025)
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting
by: Guo, Zhuoning, et al.
Published: (2024)
by: Guo, Zhuoning, et al.
Published: (2024)
Similar Items
-
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective
by: Kontar, Raed Al
Published: (2024) -
Online Learning of Optimal Sequential Testing Policies
by: Chen, Qiyuan, et al.
Published: (2025) -
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
by: Yue, Xubo, et al.
Published: (2021) -
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
by: Chen, Qiyuan, et al.
Published: (2024) -
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
by: Chung, Seokhyun, et al.
Published: (2024)