1. | Sanjay Chandlekar; Bala Suraj Pedasingu; Easwar Subramanian; Sanjay Bhat P; Sujit Gujar: An Autonomous Intelligent Broker for Smart-grids. In the proceedings of the International Joint Conference of Artificial Intelligence , 2022. (Type: Conference | BibTeX | Tags: Game Theory, smart grids)@conference{sanjay22ijcai,
title = {An Autonomous Intelligent Broker for Smart-grids},
author = {Sanjay Chandlekar and Bala Suraj Pedasingu and Easwar Subramanian and Sanjay P Bhat and Sujit Gujar},
year = {2022},
date = {2022-07-23},
booktitle = { In the proceedings of the International Joint Conference of Artificial Intelligence },
keywords = {Game Theory, smart grids},
pubstate = {published},
tppubtype = {conference}
}
|
2. | Sanjay Chandlekar; Easwar Subramanian; Sanjay Bhat P; Sujit Gujar: Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids. Proceedings of International Conference on Autonomous Agents and Multiagent Systems, AAMAS'22, Forthcoming. (Type: Conference | BibTeX | Tags: Game Theory, Reinforcement Learning)@conference{Sanjay22addpg,
title = {Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids},
author = {Sanjay Chandlekar and Easwar Subramanian and Sanjay P Bhat and Sujit Gujar},
year = {2022},
date = {2022-05-09},
booktitle = {Proceedings of International Conference on Autonomous Agents and Multiagent Systems, AAMAS'22},
keywords = {Game Theory, Reinforcement Learning},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
3. | 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}
}
|
4. | Debojit Das; Shweta Jain; Sujit Gujar: Budgeted Combinatorial Multi-Armed Bandits. In the Proceedings of International Conference on Autonomous Agents and Multiagent Systems, 2022. (Type: Conference | BibTeX | Tags: Multi-arm Bandits)@conference{debojit22bcmab,
title = {Budgeted Combinatorial Multi-Armed Bandits},
author = {Debojit Das and Shweta Jain and Sujit Gujar },
year = {2022},
date = {2022-05-09},
booktitle = {In the Proceedings of International Conference on Autonomous Agents and Multiagent Systems},
keywords = {Multi-arm Bandits},
pubstate = {published},
tppubtype = {conference}
}
|
5. | 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}
}
|
6. | Kritika Prakash; Fiza Hussain; Praveen Paruchuri; Sujit Gujar: How Private Is Your RL Policy? An Inverse RL Based Analysis Framework. In: 36th AAAI Conference on Artificial Intelligence , AAAI, Forthcoming. (Type: Conference | BibTeX | Tags: differential privacy, inverse reinforcement learning, Reinforcement Learning)@inproceedings{Kritika22,
title = {How Private Is Your RL Policy? An Inverse RL Based Analysis Framework},
author = {Kritika Prakash and Fiza Hussain and Praveen Paruchuri and Sujit Gujar},
year = {2022},
date = {2022-02-22},
booktitle = {36th AAAI Conference on Artificial Intelligence },
publisher = {AAAI},
keywords = {differential privacy, inverse reinforcement learning, Reinforcement Learning},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
|
7. | 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}
}
|
8. | Ashutosh Ranjan; Vinay Ramani; Sujit Gujar: Dynamic Matching in Campus Placements: The Benefits and Affordability of the Dream Option. In: IMB Management Review, Forthcoming. (Type: Journal Article | BibTeX | Tags: campus placements, matching)@article{Ashutosh22,
title = {Dynamic Matching in Campus Placements: The Benefits and Affordability of the Dream Option},
author = {Ashutosh Ranjan and Vinay Ramani and Sujit Gujar},
year = {2022},
date = {2022-01-01},
journal = {IMB Management Review},
keywords = {campus placements, matching},
pubstate = {forthcoming},
tppubtype = {article}
}
|
9. | Sankarshan Damle; Aleksei Triastcyn; Boi Faltings; Sujit Gujar: Differentially Private Multi-Agent Constraint Optimization. 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 | BibTeX | Tags: differential privacy, distributed constrained optimization)@conference{Damle2021c,
title = {Differentially Private Multi-Agent Constraint Optimization},
author = {Sankarshan Damle and Aleksei Triastcyn and Boi Faltings and Sujit Gujar},
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 = {differential privacy, distributed constrained optimization},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
10. | Sankarshan Damle; Boi Faltings; Sujit Gujar: Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions. In: 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 | BibTeX | Tags: Blockchain, combinatorial auction, cryptography, Privacy, Security)@inproceedings{Damle2021d,
title = {Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions},
author = {Sankarshan Damle and Boi Faltings and Sujit Gujar},
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 = {Blockchain, combinatorial auction, cryptography, Privacy, Security},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
|
11. | 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}
}
|
12. | Manisha Padala; Sujit Gujar: Mechanism Design without Money for Fair Allocations. To Appear in the proceedings of the 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 2021 (WI-IAT '21)., Forthcoming. (Type: Conference | BibTeX | Tags: fairness, Mechanism Design)@conference{Padala2021c,
title = {Mechanism Design without Money for Fair Allocations},
author = {Manisha Padala and Sujit Gujar},
year = {2021},
date = {2021-12-14},
booktitle = {To Appear in the proceedings of the 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 2021 (WI-IAT '21).},
keywords = {fairness, Mechanism Design},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
13. | Manisha Padala; Debojit Das; Sujit Gujar: Effect of Input Noise Dimension in GANs. In: Proceedings 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21), Forthcoming. (Type: Conference | BibTeX | Tags: GAN, Machine Learning)@inproceedings{Padala2021,
title = {Effect of Input Noise Dimension in GANs},
author = {Manisha Padala and Debojit Das and Sujit Gujar
},
year = {2021},
date = {2021-12-08},
booktitle = {Proceedings 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21)},
keywords = {GAN, Machine Learning},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
|
14. | 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}
}
|
15. | Meghana Reddy; Akansha Singh; Shweta Jain; Sujit Gujar: Designing Bounded Min-knapsack Bandits Algorithm for Sustainable Demand Response. 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) , Forthcoming. (Type: Conference | BibTeX | Tags: Multi-arm Bandits, smart grids)@conference{MReddy2021b,
title = {Designing Bounded Min-knapsack Bandits Algorithm for Sustainable Demand Response},
author = {Meghana Reddy and Akansha Singh and Shweta Jain and Sujit Gujar},
year = {2021},
date = {2021-11-08},
booktitle = {18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) },
keywords = {Multi-arm Bandits, smart grids},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
16. | Sankarshan Damle; Moin Hussain Moti; Praphul Chandra; Sujit Gujar: Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding. 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) , Forthcoming. (Type: Conference | BibTeX | Tags: Blockchains, Civic Crowdfunding, differential privacy, fairness, federated learning)@conference{sankarshan2021b,
title = {Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding},
author = {Sankarshan Damle and Moin Hussain Moti and Praphul Chandra and Sujit Gujar},
year = {2021},
date = {2021-11-08},
booktitle = {18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) },
keywords = {Blockchains, Civic Crowdfunding, differential privacy, fairness, federated learning},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
17. | Meghana Reddy; Akansha Singh; Zoltan Nagy; Sujit Gujar; Shweta Jain: Designing Bounded min-Knapsack Bandits Algorithm for Sustainable Demand Response. Tackling Climate Change with Machine Learning, ICML , 2021. (Type: Workshop | BibTeX | Tags: Multi-arm Bandits, smart grids)@workshop{MReddy2021a,
title = {Designing Bounded min-Knapsack Bandits Algorithm for Sustainable Demand Response},
author = {Meghana Reddy and Akansha Singh and Zoltan Nagy and Sujit Gujar and Shweta Jain},
year = {2021},
date = {2021-07-23},
booktitle = {Tackling Climate Change with Machine Learning, ICML },
keywords = {Multi-arm Bandits, smart grids},
pubstate = {published},
tppubtype = {workshop}
}
|
18. | 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}
}
|
19. | Anurag Jain; Shoeb Siddiqui; Sujit Gujar: We might walk together, but I run faster: Network Fairness and Scalability in Blockchains. Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), 2021. (Type: Conference | Abstract | BibTeX | Tags: Blockchains, Distributed Ledgers, fairness, Peer-to-Peer Networks, Scalability)@conference{Jain2021,
title = {We might walk together, but I run faster: Network Fairness and Scalability in Blockchains},
author = {Anurag Jain and Shoeb Siddiqui and Sujit Gujar},
editor = {U. Endriss and A. Now\'{e} and F. Dignum and A. Lomuscio },
year = {2021},
date = {2021-05-05},
booktitle = {Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021)},
abstract = {Blockchain-based Distributed Ledgers (DLs) promise to transform the existing financial system by making it truly democratic. In the past decade, blockchain technology has seen many novel applications ranging from the banking industry to real estate. However, in order to be adopted universally, blockchain systems must be scalable to support a high volume of transactions. As we increase the throughput of the DL system, the underlying peer-to-peer network might face multiple levels of challenges to keep up with the requirements. Due to varying network capacities, the slower nodes would be at a relative disadvantage compared to the faster ones, which could negatively impact their revenue. In order to quantify their relative advantage or disadvantage, we introduce two measures of network fairness, p_f, the probability of frontrunning and alpha_f, the publishing fairness. We show that as we scale the blockchain, both these measures deteriorate, implying that the slower nodes face a disadvantage at higher throughputs. It results in the faster nodes getting more than their fair share of the reward while the slower nodes (slow in terms of network quality) get less. Thus, fairness and scalability in blockchain systems do not go hand in hand.
In a setting with rational miners, lack of fairness causes miners to deviate from the ``longest chain rule'' or emph{undercut}, which would reduce the blockchain's resilience against byzantine adversaries. Hence, fairness is not only a desirable property for a blockchain system but also essential for the security of the blockchain and any scalable blockchain protocol proposed must ensure fairness.},
keywords = {Blockchains, Distributed Ledgers, fairness, Peer-to-Peer Networks, Scalability},
pubstate = {published},
tppubtype = {conference}
}
Blockchain-based Distributed Ledgers (DLs) promise to transform the existing financial system by making it truly democratic. In the past decade, blockchain technology has seen many novel applications ranging from the banking industry to real estate. However, in order to be adopted universally, blockchain systems must be scalable to support a high volume of transactions. As we increase the throughput of the DL system, the underlying peer-to-peer network might face multiple levels of challenges to keep up with the requirements. Due to varying network capacities, the slower nodes would be at a relative disadvantage compared to the faster ones, which could negatively impact their revenue. In order to quantify their relative advantage or disadvantage, we introduce two measures of network fairness, p_f, the probability of frontrunning and alpha_f, the publishing fairness. We show that as we scale the blockchain, both these measures deteriorate, implying that the slower nodes face a disadvantage at higher throughputs. It results in the faster nodes getting more than their fair share of the reward while the slower nodes (slow in terms of network quality) get less. Thus, fairness and scalability in blockchain systems do not go hand in hand.
In a setting with rational miners, lack of fairness causes miners to deviate from the ``longest chain rule'' or emph{undercut}, which would reduce the blockchain's resilience against byzantine adversaries. Hence, fairness is not only a desirable property for a blockchain system but also essential for the security of the blockchain and any scalable blockchain protocol proposed must ensure fairness. |
20. | Ayush Deva; Kumar Abhishek; Sujit Gujar: A Multi-Arm Bandit Approach To Subset Selection Under Constraints. International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, 2021. (Type: Conference | BibTeX | Tags: auctions, Mechanism Design, Multi-arm Bandits)@conference{deva21,
title = {A Multi-Arm Bandit Approach To Subset Selection Under Constraints},
author = {Ayush Deva and Kumar Abhishek and Sujit Gujar},
year = {2021},
date = {2021-05-05},
booktitle = {International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021},
keywords = {auctions, Mechanism Design, Multi-arm Bandits},
pubstate = {published},
tppubtype = {conference}
}
|