1.5k citations · 2.7k across the 25 of their papers we have counts for
5 papers · 1 filter
The power of synergy in differential privacy: Combining a small curator with local randomizers
Amos Beimel, Aleksandra Korolova, Kobbi Nissim +2
Motivated by the desire to bridge the utility gap between local and trusted curator models of differential privacy for practical applications, we initiate the theoretical study of…
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova +2
Political campaigns are increasingly turning to digital advertising to reach voters. These platforms empower advertisers to target messages to platform users with great precision,…
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
Federated learning (FL) is a machine learning setting where many clients (e.g. mobile devices or whole organizations) collaboratively train a model under the orchestration of a cen…
Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes
Muhammad Ali, Piotr Sapiezynski, Miranda Bogen +3
The enormous financial success of online advertising platforms is partially due to the precise targeting features they offer. Although researchers and journalists have found many w…
Preference-Informed Fairness
Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum +1
We study notions of fairness in decision-making systems when individuals have diverse preferences over the possible outcomes of the decisions. Our starting point is the seminal wor…