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; 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)
3.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)
4.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)
5.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)