research
∙
02/08/2023
AVeCQ: Anonymous Verifiable Crowdsourcing with Worker Qualities
In crowdsourcing systems, requesters publish tasks, and interested worke...
share
research
∙
11/25/2022
Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation
Civic Crowdfunding (CC) uses the “power of the crowd” to garner contribu...
research
∙
06/27/2022
Differentially Private Federated Combinatorial Bandits with Constraints
There is a rapid increase in the cooperative learning paradigm in online...
research
∙
03/21/2022
Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains
Cryptocurrencies are poised to revolutionize the modern economy by democ...
research
∙
12/20/2021
REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing
Crowdsourcing is an effective method to collect data by employing distri...
research
∙
09/06/2021
Fair Federated Learning for Heterogeneous Face Data
We consider the problem of achieving fair classification in Federated Le...
research
∙
08/23/2021
Federated Learning Meets Fairness and Differential Privacy
Deep learning's unprecedented success raises several ethical concerns ra...
research
∙
02/21/2021
FASTEN: Fair and Secure Distributed Voting Using Smart Contracts
Electing democratic representatives via voting has been a common mechani...
research
∙
06/15/2019
A Practical Solution to Yao's Millionaires' Problem and Its Application in Designing Secure Combinatorial Auction
The emergence of e-commerce and e-voting platforms has resulted in the r...
research
∙
05/27/2019
Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs
In the last decade, civic crowdfunding has proved to be effective in gen...
research
∙
10/27/2018
