REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing

Appeared at: Autonomous Agents and MultiAgent Systems (AAMAS) 2022 Authors: SAMHITA KANAPARTHY, SANKARSHAN DAMLE, SUJIT GUJAR Crowdsourcing effectively solves many tasks by employing a distributed human population. Information aggregation from multiple reports provided by potentially unreliable or malicious agents is a primary challenge in crowdsourcing systems. As a result, research in this area has focused … Continue reading REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing

Differentially Private Federated Combinatorial Bandits with Constraints

Appeared at: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022Authors: Sambhav Solanki, Sujit Gujar, Sankarshan Damle, Samhita Kanaparthy In multi-agent online learning settings, federated learning (FL) is a valuable tool. However, the learning agents can be competitive, and privacy concerns can pose a barrier to engagement in FL. … Continue reading Differentially Private Federated Combinatorial Bandits with Constraints

FASTEN: Fair and Secure Distributed Voting Using Smart Contracts

Appeared at: IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC ’21) Sankarshan Damle, Sujit Gujar, And Moin Hussain Moti As direct democracy is impractical, countries employ representative democracy. Elections allow each individual to take part in this decision-making process. Given this, it is imperative that elections are processed in a fair and secure manner. … Continue reading FASTEN: Fair and Secure Distributed Voting Using Smart Contracts

We might walk together but I run faster

At the 20th edition of the recently concluded International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) 2021, MLL researcher Anurag Jain won the Best Poster Design Award for innovatively capturing constraints faced in scaling blockchain technology with the help of a comic strip. Network Disparity Affects Scalability Blockchain technology is slowly gaining traction across sectors … Continue reading We might walk together but I run faster

Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions

In this work, we consider the contextual multi-armed bandit problem in the presence of strategic agents in the context of sponsored search auction. In this setting, an advertising platform (center) runs a repeated auction to select the best-suited ads relevant to the user’s query. The center aspires to select an ad that has a high … Continue reading Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions

Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding

TL;DR. Civic crowdfunding, the process of raising voluntary contributions from interested agents for public projects, such as public parks, libraries, etc., has grown in popularity in recent decades. As these projects are non-excludable, strategic agents often free-ride, i.e., choose not to contribute. To address this, researchers have used incentive engineering to construct mechanisms that incentivize strategic agents to contribute. This incentive is in … Continue reading Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding