Cover Image

Lightweight and Robust Federated Data Valuation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Guojun, Zhou, Jiayu, Mamun, Mohammad, Drew, Steve
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Owen Sampling Accelerates Contribution Estimation in Federated Learning
by: KhademSohi, Hossein, et al.
Published: (2025)

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
by: Wu, Jiajun, et al.
Published: (2023)

FedGreen: Carbon-aware Federated Learning with Model Size Adaptation
by: Abbasi, Ali, et al.
Published: (2024)

Data Valuation and Detections in Federated Learning
by: Li, Wenqian, et al.
Published: (2023)

Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
by: Wei, Shuyue, et al.
Published: (2025)

Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace
by: Jahani-Nezhad, Tayyebeh, et al.
Published: (2024)

Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
by: Dong, Fan, et al.
Published: (2023)

Data Valuation and Selection in a Federated Model Marketplace
by: Li, Wenqian, et al.
Published: (2025)

Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks
by: Dong, Fan, et al.
Published: (2024)

Federated Recommender System with Data Valuation for E-commerce Platform
by: Park, Jongwon, et al.
Published: (2025)

Data Distribution Valuation
by: Xu, Xinyi, et al.
Published: (2024)

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
by: Zheng, Shuyuan, et al.
Published: (2025)

Structural Rationale Distillation via Reasoning Space Compression
by: Yang, Jialin, et al.
Published: (2026)

Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
by: Wu, Shunyu, et al.
Published: (2025)

Bitcoin Cross-Chain Bridge: A Taxonomy and Its Promise in Artificial Intelligence of Things
by: Tang, Guojun, et al.
Published: (2025)

Semi-decentralized Federated Time Series Prediction with Client Availability Budgets
by: Bao, Yunkai, et al.
Published: (2025)

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
by: Tian, Xiao, et al.
Published: (2023)

Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors
by: Vahedifar, Mohammad Ali, et al.
Published: (2023)

Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method
by: Han, Xiao, et al.
Published: (2021)

Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning
by: Taib, Musa, et al.
Published: (2024)

Is Data Valuation Learnable and Interpretable?
by: Wu, Ou, et al.
Published: (2024)

On the Usage of Gaussian Process for Efficient Data Valuation
by: Bénesse, Clément, et al.
Published: (2025)

KAIROS: Scalable Model-Agnostic Data Valuation
by: Zhu, Jiongli, et al.
Published: (2025)

Error Estimate and Convergence Analysis for Data Valuation
by: Liang, Zhangyong, et al.
Published: (2025)

SAVA: Scalable Learning-Agnostic Data Valuation
by: Kessler, Samuel, et al.
Published: (2024)

Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
by: Choi, Youngjun, et al.
Published: (2025)

Data Valuation with Gradient Similarity
by: Evans, Nathaniel J., et al.
Published: (2024)

SPEAR: Soft Prompt Enhanced Anomaly Recognition for Time Series Data
by: Wei, Hanzhe, et al.
Published: (2025)

LossVal: Efficient Data Valuation for Neural Networks
by: Wibiral, Tim, et al.
Published: (2024)

Data Distribution Valuation Using Generalized Bayesian Inference
by: Nguyen, Cuong N., et al.
Published: (2026)

Understanding the Role of Layer Normalization in Label-Skewed Federated Learning
by: Zhang, Guojun, et al.
Published: (2023)

Data Valuation by Fusing Global and Local Statistical Information
by: Zhou, Xiaoling, et al.
Published: (2024)

Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization
by: Xu, Le, et al.
Published: (2025)

A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg
by: Qu, Zhaonan, et al.
Published: (2020)

Precedence-Constrained Winter Value for Effective Graph Data Valuation
by: Chi, Hongliang, et al.
Published: (2024)

EcoVal: An Efficient Data Valuation Framework for Machine Learning
by: Tarun, Ayush K, et al.
Published: (2024)

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
by: Zhang, Haobo, et al.
Published: (2025)

Fast-DataShapley: Neural Modeling for Training Data Valuation
by: Sun, Haifeng, et al.
Published: (2025)

Challenges in Enabling Private Data Valuation
by: Fu, Yiwei, et al.
Published: (2026)

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation
by: Ran, Yide, et al.
Published: (2026)