| 1. | Samhita Kanaparthy; Sankarshan Damle; Sujit Gujar: REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing. In the Proceedings of International Conference on Autonomous Agents and Multiagent Systems, AAMAS'22, Forthcoming. (Type: Conference | BibTeX | Tags: crowdsourcing, incentive design)@conference{Kanaparthy22reform,
title = {REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing},
author = {Samhita Kanaparthy and Sankarshan Damle and Sujit Gujar},
year = {2022},
date = {2022-05-09},
booktitle = {In the Proceedings of International Conference on Autonomous Agents and Multiagent Systems, AAMAS'22},
keywords = {crowdsourcing, incentive design},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 2. | Anurag Jain; Sanidhay Arora; Sankarshan Damle; Sujit Gujar: Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains. IEEE International Conference on Blockchain and Cryptocurrency, Forthcoming. (Type: Conference | BibTeX | Tags: Blockchain, Scalable Blockchain)@conference{Anurag22a,
title = {Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains},
author = {Anurag Jain and Sanidhay Arora and Sankarshan Damle and Sujit Gujar },
year = {2022},
date = {2022-05-03},
booktitle = {IEEE International Conference on Blockchain and Cryptocurrency},
keywords = {Blockchain, Scalable Blockchain},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 3. | Samhita Kanaparthy; Manisha Padala; Sankarshan Damle; Sujit Gujar: Fair Federated Learning for Heterogeneous Data. Young Researchers Symposium, CODS-COMAD'22., 2022. (Type: Conference | BibTeX | Tags: fairness, federated learning)@conference{Samhita22a,
title = {Fair Federated Learning for Heterogeneous Data},
author = {Samhita Kanaparthy and Manisha Padala and Sankarshan Damle and Sujit Gujar},
year = {2022},
date = {2022-01-05},
booktitle = {Young Researchers Symposium, CODS-COMAD'22.},
keywords = {fairness, federated learning},
pubstate = {published},
tppubtype = {conference}
}
|
| 4. | Manisha Padala; Sankarshan Damle; Sujit Gujar: Learning Equilibrium Contributions in Multi-project Civic Crowdfunding. To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21), Forthcoming. (Type: Conference | Links | BibTeX | Tags: Civic Crowdfunding, Mechanism Design, Reinforcement Learning)@conference{Padala2021b,
title = {Learning Equilibrium Contributions in Multi-project Civic Crowdfunding},
author = {Manisha Padala and Sankarshan Damle and Sujit Gujar},
url = {http://mll.iiit.ac.in/wp-content/uploads/2022/04/wi_iat_camera_ready_compressed-2.pdf},
year = {2021},
date = {2021-12-14},
booktitle = {To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21)},
keywords = {Civic Crowdfunding, Mechanism Design, Reinforcement Learning},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 5. | Manisha Padala; Sankarshan Damle ; Sujit Gujar: Federated Learning Meets Fairness and Differential Privacy. In: Proceedings of the 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21), Forthcoming. (Type: Conference | BibTeX | Tags: differential privacy, fairness, federated learning)@inproceedings{Manisha2021b,
title = {Federated Learning Meets Fairness and Differential Privacy},
author = {Manisha Padala and Sankarshan Damle, and Sujit Gujar},
year = {2021},
date = {2021-12-08},
publisher = {Proceedings of the 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21)},
keywords = {differential privacy, fairness, federated learning},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
|
| 6. | Padala Manisha; Sankarshan Damle; Sujit Gujar: Building Ethical AI: Federated Learning meets Fairness and Privacy. First Indian Conference on Deployable AI, 2021. (Type: Conference | BibTeX | Tags: differential privacy, fairness, federated learning)@conference{manisha2021a,
title = {Building Ethical AI: Federated Learning meets Fairness and Privacy},
author = {Padala Manisha and Sankarshan Damle and Sujit Gujar },
year = {2021},
date = {2021-06-17},
booktitle = {First Indian Conference on Deployable AI},
keywords = {differential privacy, fairness, federated learning},
pubstate = {published},
tppubtype = {conference}
}
|
| 7. | Sanidhay Arora; Anurag Jain; Sankarshan Damle; Sujit Gujar: ASHWAChain: A Fast, Scalable and Strategy-proof Committee-based Blockchain Protocol. Workshop on Game Theory in Blockchain at WINE 2020 (GTiB@WINE 2020), 2020. (Type: Workshop | BibTeX | Tags: Blockchain, Blockchain Consensus Protocols, Game Theory, Scalable Blockchain)@workshop{Arora2020,
title = {ASHWAChain: A Fast, Scalable and Strategy-proof Committee-based Blockchain Protocol},
author = {Sanidhay Arora and Anurag Jain and Sankarshan Damle and Sujit Gujar},
editor = {Jing Chen and Xiaotie Deng},
year = {2020},
date = {2020-12-11},
booktitle = {Workshop on Game Theory in Blockchain at WINE 2020 (GTiB@WINE 2020)},
keywords = {Blockchain, Blockchain Consensus Protocols, Game Theory, Scalable Blockchain},
pubstate = {published},
tppubtype = {workshop}
}
|
