Manisha Padala

Orcid: 0000-0001-8918-4739

According to our database1, Manisha Padala authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Tutorial on Fair and Private Deep Learning.
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.
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.
CoRR, 2023

Coordinating Monetary Contributions in Participatory Budgeting.
Proceedings of the Algorithmic Game Theory - 16th International Symposium, 2023

F3: Fair and Federated Face Attribute Classification with Heterogeneous Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
EEF1-NN: Efficient and EF1 Allocations Through Neural Networks.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Fair Allocation with Special Externalities.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Fair Federated Learning for Heterogeneous Data.
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.
CoRR, 2021

Fair and Efficient Resource Allocation with Externalities.
CoRR, 2021

Mechanism Design without Money for Fair Allocations.
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.
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.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Effect of Input Noise Dimension in GANs.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
FNNC: Achieving Fairness through Neural Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
A Neural Network Framework for Fair Classifier.
CoRR, 2018

Generative Adversarial Networks (GANs): What it can generate and What it cannot?
CoRR, 2018

Learning Optimal Redistribution Mechanisms Through Neural Networks.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018


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