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20222026
most citedFairness in Federated Learning via Core-Stability

11 citations · 13 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.GT2026

Non-Linear Pricing Restores Tractability for a Data Seller

Bhaskar Ray Chaudhury, Jugal Garg, Eklavya Sharma +1

We consider a data seller who designs pricing mechanisms over multiple datasets to maximize revenue from budget-constrained buyers. The seller offers multiple datasets and assigns…

cs.GT2026

Equilibrium Pricing in Oligopolistic Data Markets

Bhaskar Ray Chaudhury, Jugal Garg, Eklavya Sharma +1

We study equilibrium pricing in oligopolistic data markets with budget-constrained buyers (e.g., machine learning companies purchasing data to improve model accuracy) and strategic…

cs.GT2026

A Simple Polynomial-Time EFX Repair for Cancelable Valuations

Hannaneh Akrami, Arash Ashuri, Bhaskar Ray Chaudhury +2

The leximin++ proof of Plaut and Roughgarden for agents with identical monotone valuations gives a natural EFX-repair procedure: starting from an arbitrary partition, repeatedly tr…

cs.GT2026

Fully Distributed Tâtonnement for Chores Markets

Bhaskar Ray Chaudhury, Christian Kroer, Ruta Mehta +1

We study price-adjustment dynamics for computing competitive equilibria (CE) in Fisher markets with chores. Unlike in classical goods markets, prices in chores markets are payments…

cs.GT2026

Competitive Equilibrium in Labor Economies through the Lens of Goods and Chores Fisher Markets

Bhaskar Ray Chaudhury, Christian Kroer, Ruta Mehta +2

In this paper, we study a two-sided labor market that couples the classical Fisher market with goods and the Fisher market with bads into a single unified framework. In our model,…

cs.GT2026

Revenue-Optimal Pricing for Budget-Constrained Buyers in Data Markets

Bhaskar Ray Chaudhury, Jugal Garg, Eklavya Sharma +1

We study revenue-optimal pricing in data markets with rational, budget-constrained buyers. Such a market offers multiple datasets for sale, and buyers aim to improve the accuracy o…