Cover Image

Incentivizing Time-Aware Fairness in Data Sharing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Jiangwei, Pham, Kieu Thao Nguyen, Sim, Rachael Hwee Ling, Verma, Arun, Wu, Zhaoxuan, Foo, Chuan-Sheng, Low, Bryan Kian Hsiang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DUPRE: Data Utility Prediction for Efficient Data Valuation
by: Pham, Kieu Thao Nguyen, et al.
Published: (2025)

Paid with Models: Optimal Contract Design for Collaborative Machine Learning
by: Wang, Bingchen, et al.
Published: (2024)

Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning
by: Sim, Rachael Hwee Ling, et al.
Published: (2026)

How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning
by: Chen, Jiangwei, et al.
Published: (2026)

Incentives in Private Collaborative Machine Learning
by: Sim, Rachael Hwee Ling, et al.
Published: (2024)

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

INO-SGD: Addressing Utility Imbalance under Individualized Differential Privacy
by: Tian, Xiao, et al.
Published: (2026)

Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division
by: Gkatzelis, Vasilis, et al.
Published: (2023)

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality
by: Podimata, Chara
Published: (2025)

Incentive Analysis of Collusion in Fair Division
by: Huang, Haoqiang, et al.
Published: (2025)

Incentives for Early Arrival in Cost Sharing
by: Zhang, Junyu, et al.
Published: (2024)

Fairness and Incentive Compatibility via Percentage Fees
by: Dobzinski, Shahar, et al.
Published: (2024)

Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning
by: Yang, Jiaxi, et al.
Published: (2023)

Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
by: Verma, Arun, et al.
Published: (2024)

On Newton's Method to Unlearn Neural Networks
by: Bui, Nhung, et al.
Published: (2024)

A VCG-based Fair Incentive Mechanism for Federated Learning
by: Cong, Mingshu, et al.
Published: (2020)

Fair Incentives for Early Arrival in 0-1 Cooperative Games
by: Ge, Yaoxin, et al.
Published: (2025)

Fair and Efficient Allocations Without Obvious Manipulations
by: Psomas, Alexandros, et al.
Published: (2022)

Proportional Dynamics in Linear Fisher Markets with Auto-bidding: Convergence, Incentives and Fairness
by: Li, Juncheng, et al.
Published: (2024)

Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
by: Chen, Zhiliang, et al.
Published: (2025)

On Incentivizing Social Information Sharing Through Routing Games
by: Li, Songhua, et al.
Published: (2023)

Fair Division via the Cake-Cutting Share
by: Bai, Yannan, et al.
Published: (2024)

Fair Division Beyond Monotone Valuations with Applications to Equitable Graph Partitioning
by: Barman, Siddharth, et al.
Published: (2025)

On the Fairness of Normalized p-Means for Allocating Goods and Chores
by: Eckart, Owen, et al.
Published: (2024)

Bridging Theory and Perception in Fair Division: A Study on Comparative and Fair Share Notions
by: Hosseini, Hadi, et al.
Published: (2025)

Self-Interested Agents in Collaborative Machine Learning: An Incentivized Adaptive Data-Centric Framework
by: Vijayan, Nithia, et al.
Published: (2024)

Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2026)

Exact Maximin Share Fairness via Adjusted Supply
by: Barman, Siddharth, et al.
Published: (2025)

Incentivizing Inclusive Contributions in Model Sharing Markets
by: Zhang, Enpei, et al.
Published: (2025)

Fair Incentives for Repeated Engagement
by: Freund, Daniel, et al.
Published: (2021)

(Im)possibility of Incentive Design for Challenge-based Blockchain Protocols
by: Lee, Suhyeon, et al.
Published: (2025)

Facility Assignment with Fair Cost Sharing: Equilibrium and Mechanism Design
by: Ma, Mengfan, et al.
Published: (2024)

Bin Packing and Covering: Pushing the Frontier on the Maximin Share Fairness
by: Li, Bo, et al.
Published: (2025)

Share-Based Fairness for Arbitrary Entitlements
by: Babaioff, Moshe, et al.
Published: (2024)

Is Data Shapley Not Better than Random in Data Selection? Ask NASH
by: Tian, Xiao, et al.
Published: (2026)

TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
by: Wu, Zhaoxuan, et al.
Published: (2025)

Computing Equilibria in Games with Stochastic Action Sets
by: Schwarz, Thomas, et al.
Published: (2026)

Fair Division Under Inaccurate Preferences
by: Dang, Trung, et al.
Published: (2026)

QI-DPFL: Quality-Aware and Incentive-Boosted Federated Learning with Differential Privacy
by: Yuan, Wenhao, et al.
Published: (2024)

Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)