Image de couverture de livre

Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiao, Weiqiang, Bi, Suzhi, Li, Xian, Guo, Cheng, Chen, Hao, Quan, Zhi
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning
par: Deng, Bairong, et autres
Publié: (2024)

Transfer Learning for Control Systems via Neural Simulation Relations
par: Nadali, Alireza, et autres
Publié: (2024)

Neural Substitute Solver for Efficient Edge Inference of Power Electronic Hybrid Dynamics
par: Zheng, Jialin, et autres
Publié: (2025)

Causal Influence in Federated Edge Inference
par: Kayaalp, Mert, et autres
Publié: (2024)

Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI
par: Yang, Hang, et autres
Publié: (2025)

Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series
par: Meli, Daniele
Publié: (2024)

State-Free Inference of State-Space Models: The Transfer Function Approach
par: Parnichkun, Rom N., et autres
Publié: (2024)

Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
par: Zhou, Quan, et autres
Publié: (2020)

Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization
par: Wang, Xiucheng, et autres
Publié: (2024)

Unsupervised Congestion Status Identification Using LMP Data
par: Zheng, Kedi, et autres
Publié: (2024)

Unsupervised Anomaly Detection in Multi-Agent Trajectory Prediction via Transformer-Based Models
par: Lyu, Qing, et autres
Publié: (2026)

Cascading Failure Prediction via Causal Inference
par: Ghosh, Shiuli Subhra, et autres
Publié: (2024)

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
par: Mulayim, Ozan Baris, et autres
Publié: (2025)

An Index Policy Based on Sarsa and Q-learning for Heterogeneous Smart Target Tracking
par: Hao, Yuhang, et autres
Publié: (2024)

Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout
par: Dezhboro, Amirhossein, et autres
Publié: (2026)

Domain Adaptive Safety Filters via Deep Operator Learning
par: Manda, Lakshmideepakreddy, et autres
Publié: (2024)

Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
par: Müller, Arthur, et autres
Publié: (2021)

Sparse Kalman Identification for Partially Observable Systems via Adaptive Bayesian Learning
par: Mei, Jilan, et autres
Publié: (2025)

Interpretable Imitation Learning via Generative Adversarial STL Inference and Control
par: Liu, Wenliang, et autres
Publié: (2024)

Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference
par: Lefringhausen, Robert, et autres
Publié: (2025)

Joint Optimization of Model Partitioning and Resource Allocation for Anti-Jamming Collaborative Inference Systems
par: Wu, Mengru, et autres
Publié: (2026)

Physics-Embedded Neural ODEs for Sim2Real Edge Digital Twins of Hybrid Power Electronics Systems
par: Zheng, Jialin, et autres
Publié: (2025)

Edge Caching Optimization with PPO and Transfer Learning for Dynamic Environments
par: Niknia, Farnaz, et autres
Publié: (2024)

Recursive Inference for Heterogeneous Multi-Output GP State-Space Models with Arbitrary Moment Matching
par: Zheng, Tengjie, et autres
Publié: (2025)

A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
par: Ren, Yutian, et autres
Publié: (2024)

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction
par: Durkin, Alex, et autres
Publié: (2025)

FM-CAC: Carbon-Aware Control for Battery-Buffered Edge AI via Time-Series Foundation Models
par: Yang, Kang, et autres
Publié: (2026)

Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits
par: Shen, Shan, et autres
Publié: (2025)

Safe and Robust Domains of Attraction for Discrete-Time Systems: A Set-Based Characterization and Certifiable Neural Network Estimation
par: Serry, Mohamed, et autres
Publié: (2026)

EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge
par: Lao, ChonLam, et autres
Publié: (2024)

Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning
par: Arunachalam, Ayush, et autres
Publié: (2024)

Unsupervised High Impedance Fault Detection Using Autoencoder and Principal Component Analysis
par: Liu, Yingxiang, et autres
Publié: (2023)

Semantic-Aware Edge Intelligence for UAV Handover in 6G Networks
par: Al-Hameed, Aubida A., et autres
Publié: (2025)

ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise
par: Guo, Xingang, et autres
Publié: (2024)

Comparative Evaluation of Learning Models for Bionic Robots: Non-Linear Transfer Function Identifications
par: Hsieh, Po-Yu, et autres
Publié: (2024)

Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
par: Zhou, Yuqi, et autres
Publié: (2024)

Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding
par: Zhuang, Wenhao, et autres
Publié: (2024)

Optimal Control of Nonlinear Systems with Unknown Dynamics
par: Hao, Wenjian, et autres
Publié: (2023)

RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction
par: Wang, Xiucheng, et autres
Publié: (2026)

Finite Sample Frequency Domain Identification
par: Tsiamis, Anastasios, et autres
Publié: (2024)