Manisha Padala

According to our database, Manisha Padala authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tutorial on Fair and Private Deep Learning.

Manisha Padala, Sankarshan Damle, Sujit Gujar

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains.

Sankarshan Damle, Manisha Padala, Sujit Gujar

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Fair Allocation of goods and chores - Tutorial and Survey of Recent Results.

Shaily Mishra, Manisha Padala, Sujit Gujar

CoRR, 2023

Coordinating Monetary Contributions in Participatory Budgeting.

Haris Aziz, Sujit Gujar, Manisha Padala, Mashbat Suzuki, Jeremy Vollen

Proceedings of the Algorithmic Game Theory - 16th International Symposium, 2023

F3: Fair and Federated Face Attribute Classification with Heterogeneous Data.

Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Ravi Kiran Sarvadevabhatla, Sujit Gujar

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation.

Sankarshan Damle, Manisha Padala, Sujit Gujar

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

EEF1-NN: Efficient and EF1 Allocations Through Neural Networks.

Shaily Mishra, Manisha Padala, Sujit Gujar

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Fair Allocation with Special Externalities.

Shaily Mishra, Manisha Padala, Sujit Gujar

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Fair Federated Learning for Heterogeneous Data.

Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Sujit Gujar

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

Fair Federated Learning for Heterogeneous Face Data.

Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Sujit Gujar

CoRR, 2021

Fair and Efficient Resource Allocation with Externalities.

Shaily Mishra, Manisha Padala, Sujit Gujar

CoRR, 2021

Mechanism Design without Money for Fair Allocations.

Manisha Padala, Sujit Gujar

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Learning Equilibrium Contributions in Multi-project Civic Crowdfunding.

Manisha Padala, Sankarshan Damle, Sujit Gujar

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Federated Learning Meets Fairness and Differential Privacy.

Manisha Padala, Sankarshan Damle, Sujit Gujar

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Effect of Input Noise Dimension in GANs.

Manisha Padala, Debojit Das, Sujit Gujar

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

FNNC: Achieving Fairness through Neural Networks.

Padala Manisha, Sujit Gujar

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks.

Padala Manisha, Sujit Gujar

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

A Neural Network Framework for Fair Classifier.

P. Manisha, Sujit Gujar

CoRR, 2018

Generative Adversarial Networks (GANs): What it can generate and What it cannot?

P. Manisha, Sujit Gujar

CoRR, 2018

Learning Optimal Redistribution Mechanisms Through Neural Networks.

Padala Manisha, C. V. Jawahar, Sujit Gujar

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018