732 citations · 1.7k across the 44 of their papers we have counts for
6 papers · 1 filter
Do Data Valuations Make Good Data Prices?
Dongyang Fan, Tyler J. Rotello, Sai Praneeth Karimireddy
As large language models increasingly rely on external data sources, compensating data contributors has become a central concern. But how should these payments be devised? We revis…
Defection-Free Collaboration between Competitors in a Learning System
Mariel Werner, Sai Praneeth Karimireddy, Michael I. Jordan
We study collaborative learning systems in which the participants are competitors who will defect from the system if they lose revenue by collaborating. As such, we frame the syste…
Privacy Can Arise Endogenously in an Economic System with Learning Agents
Nivasini Ananthakrishnan, Tiffany Ding, Mariel Werner +2
We study price-discrimination games between buyers and a seller where privacy arises endogenously--that is, utility maximization yields equilibrium strategies where privacy occurs…
Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning
Baihe Huang, Sai Praneeth Karimireddy, Michael I. Jordan
For a federated learning model to perform well, it is crucial to have a diverse and representative dataset. However, the data contributors may only be concerned with the performanc…
Online Learning in a Creator Economy
Banghua Zhu, Sai Praneeth Karimireddy, Jiantao Jiao +1
The creator economy has revolutionized the way individuals can profit through online platforms. In this paper, we initiate the study of online learning in the creator economy by mo…
Mechanisms that Incentivize Data Sharing in Federated Learning
Sai Praneeth Karimireddy, Wenshuo Guo, Michael I. Jordan
Federated learning is typically considered a beneficial technology which allows multiple agents to collaborate with each other, improve the accuracy of their models, and solve prob…