Survey of federated learning models for spatial-temporal mobility applications
Federated learning involves training statistical models over edge devices such as mobile
phones such that the training data is kept local. Federated Learning (FL) can serve as an …
phones such that the training data is kept local. Federated Learning (FL) can serve as an …
A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and …
A Majeed, SO Hwang - IEEE Access, 2024 - ieeexplore.ieee.org
Federated learning (FL) is considered a de facto standard for privacy preservation in AI
environments because it does not require data to be aggregated in some central place to …
environments because it does not require data to be aggregated in some central place to …
An Interpretable Client Decision Tree Aggregation process for Federated Learning
Trustworthy Artificial Intelligence solutions are essential in today's data-driven applications,
prioritizing principles such as robustness, safety, transparency, explainability, and privacy …
prioritizing principles such as robustness, safety, transparency, explainability, and privacy …
FLEX: FLEXible Federated Learning Framework
In the realm of Artificial Intelligence (AI), the need for privacy and security in data processing
has become paramount. As AI applications continue to expand, the collection and handling …
has become paramount. As AI applications continue to expand, the collection and handling …