1.Sambhav Solanki; Samhita Kanaparthy; Sankarshan Damle; Sujit Gujar: Differentially Private Federated Combinatorial Bandits with Constraints. In the proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'22), 2022. (Type: Conference | BibTeX | Tags: differential privacy, federated learning, Multi-arm Bandits)
2.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, 2022. (Type: Conference | BibTeX | Tags: crowdsourcing, incentive design)
3.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)
4.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)
5.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)
6.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)
7.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)
8.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)