Samhita Kanaparthy

Joined

March 2025

Names

Samhita Kanaparthy (Preferred)

Emails

****@alumni.iiit.ac.in (Confirmed)

****@gmail.com (Confirmed)

****@samsung.com (Confirmed)

Personal Links

Career & Education History

Researcher

Computer Vision , Samsung (samsung.com)

2022 – 2025

MS student

Computer Science , International Institute of Information Technology Hyderabad, Dhirubhai Ambani Institute Of Information and Communication Technology (iiit.ac.in)

2020 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

Computer Vision

2020 – 2025

Publications

F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Ravi Kiran Sarvadevabhatla, Sujit Gujar
- Published: 01 Jan 2023, Last Modified: 10 Aug 2023
- PAKDD (1) 2023
- Readers: Everyone
Differentially Private Federated Combinatorial Bandits with Constraints
Sambhav Solanki, Samhita Kanaparthy, Sankarshan Damle, Sujit Gujar
- CoRR 2022
- Readers: Everyone
REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing
Samhita Kanaparthy, Sankarshan Damle, Sujit Gujar
- 2022 (modified: 12 Apr 2023)
- AAMAS 2022
- Readers: Everyone
Fair Federated Learning for Heterogeneous Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Sujit Gujar
- 2022 (modified: 12 Apr 2023)
- COMAD/CODS 2022
- Readers: Everyone
Differentially Private Federated Combinatorial Bandits with Constraints
Sambhav Solanki, Samhita Kanaparthy, Sankarshan Damle, Sujit Gujar
- 2022 (modified: 12 Apr 2023)
- ECML/PKDD (4) 2022
- Readers: Everyone
REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing
Samhita Kanaparthy, Sankarshan Damle, Sujit Gujar
- CoRR 2021
- Readers: Everyone
Fair Federated Learning for Heterogeneous Face Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Sujit Gujar
- CoRR 2021
- Readers: Everyone

Samhita Kanaparthy

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

F3: Fair and Federated Face Attribute Classification with Heterogeneous Data

Differentially Private Federated Combinatorial Bandits with Constraints

REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing

Fair Federated Learning for Heterogeneous Data

Differentially Private Federated Combinatorial Bandits with Constraints

REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing

Fair Federated Learning for Heterogeneous Face Data

Co-Authors