Joint optimization of data sampling and user selection for federated learning in the mobile edge computing systems
Federated learning is a model-level aggregation learning paradigm, which can generate
high quality models without collecting the local private data of users. As a distributed …
high quality models without collecting the local private data of users. As a distributed …
Joint optimization of data sampling and user selection for federated learning in the mobile edge computing systems
C Feng, Y Wang, Z Zhao… - 2020 IEEE …, 2020 - researchoutput.ncku.edu.tw
Federated learning is a model-level aggregation learning paradigm, which can generate
high quality models without collecting the local private data of users. As a distributed …
high quality models without collecting the local private data of users. As a distributed …