TY  - UNPB
A1  - Verma, DC
A1  - Julier, S
A1  - Cirincione, G
AV  - public
ID  - discovery10119536
N1  - For information on re-use, please refer to the publisher?s terms and conditions.
TI  - Federated AI for building AI Solutions across Multiple Agencies
N2  - The different sets of regulations existing for differ-ent agencies within the government make the task of creating AI enabled solutions in government dif-ficult. Regulatory restrictions inhibit sharing of da-ta across different agencies, which could be a significant impediment to training AI models. We discuss the challenges that exist in environments where data cannot be freely shared and assess tech-nologies which can be used to work around these challenges. We present results on building AI models using the concept of federated AI, which al-lows creation of models without moving the training data around.
Y1  - 2018///
UR  - https://arxiv.org/abs/1809.10036
ER  -