A federated multi-task learning framework that learns customized context-aware policies from multiple smart homes in a privacy-preserving manner.

In this paper, we design LoFTI- a framework to Learn contextual access policies via Federated multi-Task learning for IoT devices in multiple smart homes. LoFTI ...

Yu et al. proposed a learning-based approach that learns contextual access control policies from the behavior patterns of multiple smart home devices in [83] .

Learning Context-Aware Policies from Multiple Smart Homes via Federated Multi-Task Learning ... This post is licensed under CC BY 4.0 by the author. Share.

5 days ago · Context-aware policies learned from multiple smart homes via Federated Multi-Task Learning illustrate FL's adaptability to different conditions ...

Mar 31, 2020 · Read Wonders: Learning Context-Aware Policies from Multiple Smart Homes via Federated Multi-Task Learning.

Learning context-aware policies from multiple smart homes via federated multi-task learning. T Yu, T Li, Y Sun, S Nanda, V Smith, V Sekar, S Seshan. 2020 IEEE/ ...

2018. Learning context-aware policies from multiple smart homes via federated multi-task learning. T Yu, T Li, Y Sun, S Nanda, V Smith, V Sekar, S Seshan. 2020 ...

Aug 16, 2024 · Learning context-aware poli- cies from multiple smart homes via federated multi-task learning. In 2020 IEEE/ACM Fifth International.

Federated learning poses new statistical and systems challenges in training machine learning models over distributed networks of devices.