[图书][B] Balancing Privacy and Performance in Emerging Applications of Federated Learning
S Mohammadi - 2023 - search.proquest.com
Federerad inlärning (eng. Federated Learning, FL) är ett nytt paradigm inom
maskininlärning (ML) som möjliggör att flera fysiska enheter samarbetar för att gemensamt …
maskininlärning (ML) som möjliggör att flera fysiska enheter samarbetar för att gemensamt …
[HTML][HTML] Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics
Federated learning (FL) as a novel paradigm in Artificial Intelligence (AI), ensures enhanced
privacy by eliminating data centralization and brings learning directly to the edge of the …
privacy by eliminating data centralization and brings learning directly to the edge of the …
[HTML][HTML] Secure and Efficient Federated Learning Schemes for Healthcare Systems
C Song, Z Wang, W Peng, N Yang - Electronics, 2024 - mdpi.com
The swift advancement in communication technology alongside the rise of the Medical
Internet of Things (IoT) has spurred the extensive adoption of diverse sensor-driven …
Internet of Things (IoT) has spurred the extensive adoption of diverse sensor-driven …
A Survey on Federated Learning in Human Sensing
Human Sensing, a field that leverages technology to monitor human activities, psycho-
physiological states, and interactions with the environment, enhances our understanding of …
physiological states, and interactions with the environment, enhances our understanding of …
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition
Federated Learning (FL) is a privacy-preserving approach that allows servers to aggregate
distributed models transmitted from local clients rather than training on user data. More …
distributed models transmitted from local clients rather than training on user data. More …
Enhancing Speech Emotion Recognition in Urdu Using Bi-GRU Networks: An In-Depth Analysis of Acoustic Features and Model Interpretability
M Adeel, ZY Tao - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
This paper introduces an innovative approach to Speech Emotion Recognition (SER) for
Pakistani Urdu, employing the URDU dataset, a specialized resource in this domain, and …
Pakistani Urdu, employing the URDU dataset, a specialized resource in this domain, and …
EncCluster: Bringing Functional Encryption in Federated Foundational Models
Federated Learning (FL) decentralizes model training by transmitting local model updates to
a central server, yet it remains vulnerable to inference attacks during these transmissions …
a central server, yet it remains vulnerable to inference attacks during these transmissions …