182 citations · 625 across the 44 of their papers we have counts for
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A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms"
Jiachen T. Wang, Ruoxi Jia
Data valuation is a growing research field that studies the influence of individual data points for machine learning (ML) models. Data Shapley, inspired by cooperative game theory…
A Note on "Towards Efficient Data Valuation Based on the Shapley Value''
Jiachen T. Wang, Ruoxi Jia
The Shapley value (SV) has emerged as a promising method for data valuation. However, computing or estimating the SV is often computationally expensive. To overcome this challenge,…
Variance reduced Shapley value estimation for trustworthy data valuation
Mengmeng Wu, Ruoxi Jia, Changle Lin +2
Data valuation, especially quantifying data value in algorithmic prediction and decision-making, is a fundamental problem in data trading scenarios. The most widely used method is…
D2P-Fed: Differentially Private Federated Learning With Efficient Communication
Lun Wang, Ruoxi Jia, Dawn Song
In this paper, we propose the discrete Gaussian based differentially private federated learning (D2P-Fed), a unified scheme to achieve both differential privacy (DP) and communicat…