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 …
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 …
Multi-answer Constrained Optimal Querying: Maximum Information Gain Coding
Z Li, P Fan - arXiv preprint arXiv:2405.16753, 2024 - arxiv.org
As the rapidly developments of artificial intelligence and machine learning, behavior tree
design in multiagent system or AI game become more important. The behavior tree design …
design in multiagent system or AI game become more important. The behavior tree design …