[HTML][HTML] Applications of federated learning; taxonomy, challenges, and research trends

M Shaheen, MS Farooq, T Umer, BS Kim - Electronics, 2022 - mdpi.com
The federated learning technique (FL) supports the collaborative training of machine
learning and deep learning models for edge network optimization. Although a complex edge …

Applications of Federated Learning; Taxonomy, Challenges, and Research Trends

M Shaheen, MS Farooq, T Umer, BS Kim - Electronics, 2022 - pure.roehampton.ac.uk
The federated learning technique (FL) supports the collaborative training of machine
learning and deep learning models for edge network optimization. Although a complex edge …

Applications of Federated Learning; Taxonomy, Challenges, and Research Trends.

M Shaheen, MS Farooq, T Umer… - Electronics (2079 …, 2022 - search.ebscohost.com
The federated learning technique (FL) supports the collaborative training of machine
learning and deep learning models for edge network optimization. Although a complex edge …

Applications of Federated Learning; Taxonomy, Challenges, and Research Trends

M Shaheen, MS Farooq, T Umer, BS Kim - 2022 - scholarworks.bwise.kr
The federated learning technique (FL) supports the collaborative training of machine
learning and deep learning models for edge network optimization. Although a complex edge …

Applications of Federated Learning; Taxonomy, Challenges, and Research Trends

M Shaheen, MS Farooq, T Umer, K Byung-Seo - Electronics, 2022 - search.proquest.com
The federated learning technique (FL) supports the collaborative training of machine
learning and deep learning models for edge network optimization. Although a complex edge …