[HTML][HTML] A systematic review of federated learning from clients' perspective: challenges and solutions
Federated learning (FL) is a machine learning approach that decentralizes data and its
processing by allowing clients to train intermediate models on their devices with locally …
processing by allowing clients to train intermediate models on their devices with locally …
[PDF][PDF] A systematic review of federated learning from clients' perspective: challenges and solutions
Y Shanmugarasa, H Paik, SS Kanhere, L Zhu - 2023 - researchgate.net
Federated learning (FL) is a machine learning approach that decentralizes data and its
processing by allowing clients to train intermediate models on their devices with locally …
processing by allowing clients to train intermediate models on their devices with locally …
A systematic review of federated learning from clients' perspective: challenges and solutions
Y Shanmugarasa, H Paik, SS Kanhere… - Artificial Intelligence …, 2023 - dl.acm.org
Federated learning (FL) is a machine learning approach that decentralizes data and its
processing by allowing clients to train intermediate models on their devices with locally …
processing by allowing clients to train intermediate models on their devices with locally …
[PDF][PDF] A systematic review of federated learning from clients' perspective: challenges and solutions
Y Shanmugarasa, H Paik, SS Kanhere, L Zhu - 2023 - d-nb.info
Federated learning (FL) is a machine learning approach that decentralizes data and its
processing by allowing clients to train intermediate models on their devices with locally …
processing by allowing clients to train intermediate models on their devices with locally …