TY - GEN
T1 - Privacy-preserving federated data sharing
AU - Fioretto, Ferdinando
AU - Van Hentenryck, Pascal
N1 - Publisher Copyright:
© 2019 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org) Ail rights reserved.
PY - 2019
Y1 - 2019
N2 - Consider a set of agents with sensitive datasets who are interested in the same prediction task and would like to share their datasets without revealing private information For instance, the agents may be medical centers with their own historical databases and the task may be the diagnosis of a rare form of a disease This paper investigates whether sharing privacy-preserving versions of these datasets may improve the agent predictions It proposes a Privacy-preserving Federated Data Sharing (PFDS) protocol that each agent can run locally to produce a privacy-preserving version of its original dataset The PFDS protocol is evaluated on several standard prediction tasks and experimental results demonstrate the potential of sharing privacy-preserving datasets to produce accurate predictors.
AB - Consider a set of agents with sensitive datasets who are interested in the same prediction task and would like to share their datasets without revealing private information For instance, the agents may be medical centers with their own historical databases and the task may be the diagnosis of a rare form of a disease This paper investigates whether sharing privacy-preserving versions of these datasets may improve the agent predictions It proposes a Privacy-preserving Federated Data Sharing (PFDS) protocol that each agent can run locally to produce a privacy-preserving version of its original dataset The PFDS protocol is evaluated on several standard prediction tasks and experimental results demonstrate the potential of sharing privacy-preserving datasets to produce accurate predictors.
UR - http://www.scopus.com/inward/record.url?scp=85076097924&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076097924&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85076097924
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 638
EP - 646
BT - 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Y2 - 13 May 2019 through 17 May 2019
ER -