Saved in:
| Main Authors: | Wang, Shun, Shang, Shun-Li, Liu, Zi-Kui, Hao, Wenrui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.09851 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Thermodynamic-Inspired Explainable GeoAI: Uncovering Regime-Dependent Mechanisms in Heterogeneous Spatial Systems
by: Lim, Sooyoung, et al.
Published: (2026)
by: Lim, Sooyoung, et al.
Published: (2026)
A Measurement Report Data-Driven Framework for Localized Statistical Channel Modeling
by: Qin, Xinyu, et al.
Published: (2025)
by: Qin, Xinyu, et al.
Published: (2025)
Analysis of Shuffling Beyond Pure Local Differential Privacy
by: Takagi, Shun, et al.
Published: (2026)
by: Takagi, Shun, et al.
Published: (2026)
A Unified Fractional Regularization Framework for Sparse Recovery
by: Zhao, Yinhao, et al.
Published: (2026)
by: Zhao, Yinhao, et al.
Published: (2026)
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
by: Yang, Yuqin, et al.
Published: (2023)
by: Yang, Yuqin, et al.
Published: (2023)
Robust Estimation Under Heterogeneous Corruption Rates
by: Chaudhuri, Syomantak, et al.
Published: (2025)
by: Chaudhuri, Syomantak, et al.
Published: (2025)
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff for Resilient, Secure, and Private Computation
by: Zhu, Jinbao, et al.
Published: (2022)
by: Zhu, Jinbao, et al.
Published: (2022)
Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph $\boldsymbolβ$-Model
by: Nandy, Sagnik, et al.
Published: (2023)
by: Nandy, Sagnik, et al.
Published: (2023)
Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis
by: Yi, Yongwei, et al.
Published: (2026)
by: Yi, Yongwei, et al.
Published: (2026)
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization
by: Yu, Wenrui, et al.
Published: (2024)
by: Yu, Wenrui, et al.
Published: (2024)
A Graph Foundation Model for Wireless Resource Allocation
by: Sheng, Yucheng, et al.
Published: (2026)
by: Sheng, Yucheng, et al.
Published: (2026)
Dual-Mind World Models: A General Framework for Learning in Dynamic Wireless Networks
by: Wang, Lingyi, et al.
Published: (2025)
by: Wang, Lingyi, et al.
Published: (2025)
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
by: Agarwal, Sidharth, et al.
Published: (2025)
by: Agarwal, Sidharth, et al.
Published: (2025)
Thermodynamic Limits of Physical Intelligence
by: Takahashi, Koichi, et al.
Published: (2026)
by: Takahashi, Koichi, et al.
Published: (2026)
Towards Better Statistical Understanding of Watermarking LLMs
by: Cai, Zhongze, et al.
Published: (2024)
by: Cai, Zhongze, et al.
Published: (2024)
A Theoretical Framework for Statistical Evaluability of Generative Models
by: Aiyer, Shashaank, et al.
Published: (2026)
by: Aiyer, Shashaank, et al.
Published: (2026)
Rethinking Selectivity in State Space Models: A Minimal Predictive Sufficiency Approach
by: Wang, Yiyi, et al.
Published: (2025)
by: Wang, Yiyi, et al.
Published: (2025)
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels
by: Jeong, Minoh, et al.
Published: (2024)
by: Jeong, Minoh, et al.
Published: (2024)
Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
Tight Exponential Strong Converses for Lossy Source Coding with Side-Information and Distributed Function Computation
by: Watanabe, Shun
Published: (2025)
by: Watanabe, Shun
Published: (2025)
The Thermodynamic Costs of Simple Linear Regression
by: D'Ambrosia, Samuel H., et al.
Published: (2026)
by: D'Ambrosia, Samuel H., et al.
Published: (2026)
Data-Driven Estimation of Capacity Upper Bounds
by: Häger, Christian, et al.
Published: (2022)
by: Häger, Christian, et al.
Published: (2022)
An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics
by: Liu, Wenliang, et al.
Published: (2024)
by: Liu, Wenliang, et al.
Published: (2024)
Deep Adaptive Rate Allocation in Volatile Heterogeneous Wireless Networks
by: Maglione, Gregorio, et al.
Published: (2026)
by: Maglione, Gregorio, et al.
Published: (2026)
Generalization in Federated Learning: A Conditional Mutual Information Framework
by: Wang, Ziqiao, et al.
Published: (2025)
by: Wang, Ziqiao, et al.
Published: (2025)
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
by: Lin, Junhong, et al.
Published: (2024)
by: Lin, Junhong, et al.
Published: (2024)
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
by: Wang, Jiayi, et al.
Published: (2024)
by: Wang, Jiayi, et al.
Published: (2024)
Learning Regularities from Data using Spiking Functions: A Theory
by: Zhang, Canlin, et al.
Published: (2024)
by: Zhang, Canlin, et al.
Published: (2024)
A Modularized Framework for Piecewise-Stationary Restless Bandits
by: Li, Kuan-Ta, et al.
Published: (2026)
by: Li, Kuan-Ta, et al.
Published: (2026)
Exact Recovery in the Data Block Model
by: Asadi, Amir R., et al.
Published: (2026)
by: Asadi, Amir R., et al.
Published: (2026)
A Unified Probabilistic Framework for Dictionary Learning with Parsimonious Activation
by: Zhao, Zihui, et al.
Published: (2025)
by: Zhao, Zihui, et al.
Published: (2025)
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
by: Moradi, Parsa, et al.
Published: (2024)
by: Moradi, Parsa, et al.
Published: (2024)
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization
by: Long, Nguyen Chi, et al.
Published: (2025)
by: Long, Nguyen Chi, et al.
Published: (2025)
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)
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective
by: Kavian, Masoud, et al.
Published: (2025)
by: Kavian, Masoud, et al.
Published: (2025)
Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation
by: Tanzawa, Haruka, et al.
Published: (2026)
by: Tanzawa, Haruka, et al.
Published: (2026)
A Quantum Tensor Network-Based Viewpoint for Modeling and Analysis of Time Series Data
by: Vipulananthan, Pragatheeswaran, et al.
Published: (2025)
by: Vipulananthan, Pragatheeswaran, et al.
Published: (2025)
Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models
by: Reifert, Robert-Jeron, et al.
Published: (2026)
by: Reifert, Robert-Jeron, et al.
Published: (2026)
Cost Minimization for Space-Air-Ground Integrated Multi-Access Edge Computing Systems
by: Qin, Weihong, et al.
Published: (2025)
by: Qin, Weihong, et al.
Published: (2025)
A Wireless Foundation Model for Multi-Task Prediction
by: Sheng, Yucheng, et al.
Published: (2025)
by: Sheng, Yucheng, et al.
Published: (2025)
Similar Items
-
Thermodynamic-Inspired Explainable GeoAI: Uncovering Regime-Dependent Mechanisms in Heterogeneous Spatial Systems
by: Lim, Sooyoung, et al.
Published: (2026) -
A Measurement Report Data-Driven Framework for Localized Statistical Channel Modeling
by: Qin, Xinyu, et al.
Published: (2025) -
Analysis of Shuffling Beyond Pure Local Differential Privacy
by: Takagi, Shun, et al.
Published: (2026) -
A Unified Fractional Regularization Framework for Sparse Recovery
by: Zhao, Yinhao, et al.
Published: (2026) -
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
by: Yang, Yuqin, et al.
Published: (2023)