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researcher

Samhita Kanaparthy

3 papers hereh-index 329 citations5 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.GT1

identity via Semantic Scholar / OpenAlex

most citedREFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022

Differentially Private Federated Combinatorial Bandits with Constraints

Sambhav Solanki, Samhita Kanaparthy, Sankarshan Damle +1

There is a rapid increase in the cooperative learning paradigm in online learning settings, i.e., federated learning (FL). Unlike most FL settings, there are many situations where…

cs.GT2021★ 2 cited

REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing

Samhita Kanaparthy, Sankarshan Damle, Sujit Gujar

Crowdsourcing is an effective method to collect data by employing distributed human population. Researchers introduce appropriate reward mechanisms to incentivize agents to report…

cs.LG2021

F3: Fair and Federated Face Attribute Classification with Heterogeneous Data

Samhita Kanaparthy, Manisha Padala, Sankarshan Damle +2

Fairness across different demographic groups is an essential criterion for face-related tasks, Face Attribute Classification (FAC) being a prominent example. Apart from this trend,…

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