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20052025
most citedFederated Learning with Bayesian Differential Privacy

205 citations · 861 across the 59 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.GT2017

Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge

Goran Radanovic, Boi Faltings

We study minimal single-task peer prediction mechanisms that have limited knowledge about agents' beliefs. Without knowing what agents' beliefs are or eliciting additional informat…

cs.GT2017

Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints

Goran Radanovic, Adish Singla, Andreas Krause +1

We study a problem of optimal information gathering from multiple data providers that need to be incentivized to provide accurate information. This problem arises in many real worl…

cs.CR2017★ 7 cited

LocalCoin: An Ad-hoc Payment Scheme for Areas with High Connectivity

Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings +1

The popularity of digital currencies, especially cryptocurrencies, has been continuously growing since the appearance of Bitcoin. Bitcoin's security lies in a proof-of-work scheme,…

cs.CL2017★ 63 cited

Personalization in Goal-Oriented Dialog

Chaitanya K. Joshi, Fei Mi, Boi Faltings

The main goal of modeling human conversation is to create agents which can interact with people in both open-ended and goal-oriented scenarios. End-to-end trained neural dialog sys…

cs.GT2017★ 5 cited

Peer Truth Serum: Incentives for Crowdsourcing Measurements and Opinions

Boi Faltings, Radu Jurca, Goran Radanovic

Modern decision making tools are based on statistical analysis of abundant data, which is often collected by querying multiple individuals. We consider data collection through crow…