Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

2 results

Filters applied: . Clear all
Page 1
A Privacy and Energy-Aware Federated Framework for Human Activity Recognition.
Khan AR, Manzoor HU, Ayaz F, Imran MA, Zoha A. Khan AR, et al. Among authors: manzoor hu. Sensors (Basel). 2023 Nov 22;23(23):9339. doi: 10.3390/s23239339. Sensors (Basel). 2023. PMID: 38067712 Free PMC article.
This paper proposes a federated learning framework integrating spiking neural networks (SNNs) with long short-term memory (LSTM) networks for energy-efficient and privacy-preserving HAR. ...
This paper proposes a federated learning framework integrating spiking neural networks (SNNs) with long short-term memory (LSTM) netw …
FedBranched: Leveraging Federated Learning for Anomaly-Aware Load Forecasting in Energy Networks.
Manzoor HU, Khan AR, Flynn D, Alam MM, Akram M, Imran MA, Zoha A. Manzoor HU, et al. Sensors (Basel). 2023 Mar 29;23(7):3570. doi: 10.3390/s23073570. Sensors (Basel). 2023. PMID: 37050631 Free PMC article.
The proposed framework was implemented on substation-level energy data with nine clients for short-term load forecasting using an artificial neural network (ANN). FedBranched took two clustering rounds and resulted in two different branches having individual global models. …
The proposed framework was implemented on substation-level energy data with nine clients for short-term load forecasting using an art …