:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Yexin, Ma, Zhongtian, Zhang, Qiaosheng, Wang, Zhen
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2605.01987
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Gated Graph Attention Networks with Learnable Temperature
por: Ma, Zhongtian, et al.
Publicado: (2026)

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
por: Ma, Zhongtian, et al.
Publicado: (2024)

Community Detection in the Multi-View Stochastic Block Model
por: Zhang, Yexin, et al.
Publicado: (2024)

Matrix Completion with Hypergraphs:Sharp Thresholds and Efficient Algorithms
por: Ma, Zhongtian, et al.
Publicado: (2024)

Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms
por: Jin, Dian, et al.
Publicado: (2025)

Synthetic Data: Revisiting the Privacy-Utility Trade-off
por: Sarmin, Fatima Jahan, et al.
Publicado: (2024)

Privacy-Utility-Bias Trade-offs for Privacy-Preserving Recommender Systems
por: Parsarad, Shiva, et al.
Publicado: (2025)

Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy
por: Li, Xiang, et al.
Publicado: (2025)

A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
por: Kang, Yan, et al.
Publicado: (2022)

A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning
por: Zhang, Xiaojin, et al.
Publicado: (2024)

Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation
por: Yin, Yi, et al.
Publicado: (2025)

Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)
por: Zhao, Xingyuan, et al.
Publicado: (2023)

Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models
por: Das, Soumi, et al.
Publicado: (2025)

Graph Feedback Bandits on Similar Arms: With and Without Graph Structures
por: Qi, Han, et al.
Publicado: (2025)

Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise
por: Rodio, Angelo, et al.
Publicado: (2025)

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
por: Li, Yuecheng, et al.
Publicado: (2024)

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
por: Zhang, Ning, et al.
Publicado: (2025)

A Fast Convergence Theory for Offline Decision Making
por: Mao, Chenjie, et al.
Publicado: (2024)

Pattern Recognition of Scrap Plastic Misclassification in Global Trade Data
por: Ramli, Muhammad Sukri Bin
Publicado: (2025)

Trade-off Functions for DP-SGD with Subsampling based on Random Shuffling: Tight Upper and Lower Bounds
por: van Dijk, Marten, et al.
Publicado: (2026)

The Privacy-Utility Trade-Off of Location Tracking in Ad Personalization
por: Mosaffa, Mohammad, et al.
Publicado: (2026)

Subsampling Graphs with GNN Performance Guarantees
por: Jain, Mika Sarkin, et al.
Publicado: (2025)

A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective
por: Ghodsi, Siamak, et al.
Publicado: (2025)

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
por: Wang, Changhong, et al.
Publicado: (2024)

Analytical Correction for Subsampling Bias in Drifting Models
por: Zhang, Jiaru, et al.
Publicado: (2026)

Ising on the Graph: Task-specific Graph Subsampling via the Ising Model
por: Bånkestad, Maria, et al.
Publicado: (2024)

Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling
por: Qi, Han, et al.
Publicado: (2025)

Data Subsampling for Bayesian Neural Networks
por: Kawasaki, Eiji, et al.
Publicado: (2022)

Robust Data Fusion via Subsampling
por: Wang, Jing, et al.
Publicado: (2025)

An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy
por: Yang, Yaohong, et al.
Publicado: (2025)

Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
por: Schuchardt, Jan, et al.
Publicado: (2024)

Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning
por: Zhang, Qiaosheng, et al.
Publicado: (2024)

Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
por: Hu, Bingshan, et al.
Publicado: (2025)

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty
por: Harit, Anoushka, et al.
Publicado: (2025)

Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability
por: Ezzeddine, Fatima, et al.
Publicado: (2024)

Continual Release of Densest Subgraphs: Privacy Amplification & Sublinear Space via Subsampling
por: Zhou, Felix
Publicado: (2025)

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data
por: Inane, Ahmed Mehdi, et al.
Publicado: (2026)

Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow
por: Ma, Jicheng, et al.
Publicado: (2026)

Stability and Accuracy Trade-offs in Statistical Estimation
por: Chakraborty, Abhinav, et al.
Publicado: (2026)

A Misclassification Network-Based Method for Comparative Genomic Analysis
por: He, Wan, et al.
Publicado: (2024)