Evolutionary cost-efficient federated learning

The objective of this collaboration is to apply evolutionary optimization strategies to the multi-objective optimization of federated recommendation system with minimal effect on the user鈥檚 experience of the mobile device.

Start date

July 2019

End date

April 2020

Funding amount

拢60,148

Funder

Team