[HTML][HTML] A survey of security strategies in federated learning: Defending models, data, and privacy
Federated Learning (FL) has emerged as a transformative paradigm in machine learning,
enabling decentralized model training across multiple devices while preserving data …
enabling decentralized model training across multiple devices while preserving data …
Analysis of Federated Learning Paradigm in Medical Domain: Taking COVID-19 as an Application Use Case
SO Hwang, A Majeed - Applied Sciences, 2024 - mdpi.com
Federated learning (FL) has emerged as one of the de-facto privacy-preserving paradigms
that can effectively work with decentralized data sources (eg, hospitals) without acquiring …
that can effectively work with decentralized data sources (eg, hospitals) without acquiring …