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[HTML][HTML] From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare
Federated learning holds great potential for enabling large-scale healthcare research and
collaboration across multiple centres while ensuring data privacy and security are not …
collaboration across multiple centres while ensuring data privacy and security are not …
Vertical federated learning for effectiveness, security, applicability: A survey
Vertical Federated Learning (VFL) is a privacy-preserving distributed learning paradigm
where different parties collaboratively learn models using partitioned features of shared …
where different parties collaboratively learn models using partitioned features of shared …
Research on Optimization Strategies for Random Forest Algorithms in Federated Learning Environments
IS Song, KY Lee - The Journal of Bigdata, 2024 - koreascience.kr
Federated learning has garnered attention as an efficient method for training machine
learning models in a distributed environment while maintaining data privacy and security …
learning models in a distributed environment while maintaining data privacy and security …