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Kate Donahue

9 papers hereh-index 8401 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author1

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.GT4
  • cs.CY2
  • cs.AI1
  • cs.DS1
  • cs.LG1
same name
  • Kate Donahue — 5 papers, h 2
  • Kate Donahue — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedFairness and Utilization in Allocating Resources with Uncertain Demand

23 citations · 44 across the 8 of their papers we have counts for

collaborators
Showing cs.GTShow all

4 papers · 1 filter

cs.GT2023

Private Blotto: Viewpoint Competition with Polarized Agents

Kate Donahue, Jon Kleinberg

Social media platforms are responsible for collecting and disseminating vast quantities of content. Recently, however, they have also begun enlisting users in helping annotate this…

cs.GT2021★ 14 cited

Optimality and Stability in Federated Learning: A Game-theoretic Approach

Kate Donahue, Jon Kleinberg

Federated learning is a distributed learning paradigm where multiple agents, each only with access to local data, jointly learn a global model. There has recently been an explosion…

cs.GT2021★ 1 cited

Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness

Kate Donahue, Solon Barocas

Consider a cost-sharing game with players of different contribution to the total cost: an example might be an insurance company calculating premiums for a population of mixed-risk…

cs.GT2020

Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation

Kate Donahue, Jon Kleinberg

Federated learning is a setting where agents, each with access to their own data source, combine models from local data to create a global model. If agents are drawing their data f…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.