Occupancy Prediction in Buildings: An approach leveraging LSTM and Federated Learning

Research article (2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCo
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Occupancy Prediction in Buildings: An approach leveraging LSTM and Federated Learning

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Occupancy Prediction in Buildings: An approach leveraging LSTM and Federated Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Occupancy Prediction in Buildings: An approach leveraging LSTM and Federated Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/occupancy-prediction-in-buildings-an-approach-leveraging-lstm-and-federated-learning
MLA “Occupancy Prediction in Buildings: An approach leveraging LSTM and Federated Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/occupancy-prediction-in-buildings-an-approach-leveraging-lstm-and-federated-learning.
BibTeX @misc{4ortxyz_occupancy-prediction-in-buildings-an-approach-leveraging-lstm-and-federated-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Occupancy Prediction in Buildings: An approach leveraging LSTM and Federated Learning}}, year = {2026}, url = {https://4ort.xyz/entity/occupancy-prediction-in-buildings-an-approach-leveraging-lstm-and-federated-learning}, note = {Accessed: 2026-05-24}}
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