TY  - JOUR
AU  - Chowdhury, Yuki
TI  - Towards Federated Learning
JO  - Open Access Journal of Engineering Applications
PY  - 2022
VL  - 46
IS  - 2
SP  - 371
EP  - 398
AB  - Field observations from precision agriculture frequently reveal performance losses that existing models of federated learning fail to explain. The methodology integrates hardware-in-the-loop testing with uncertainty quantification to capture variability observed in precision agriculture. Overall cost was reduced by 31% while satisfying all design and safety constraints. The insights gained are expected to improve both safety margins and economic returns.
KW  - federated learning
KW  - hardware-in-the-loop testing
KW  - finite element analysis
KW  - co2 sequestration
KW  - microplastics
KW  - bangladesh
SN  - 3105-7004
DO  - 10.55555/oajea.2022.4602.021
UR  - https://journal.bsaps.com/article/9938
ER  -