Efficient Federated Learning for distributed NeuroImaging Data
Bishal Thapaliya,
Riyasat Ohib,
Eloy Geenjar
et al.
Abstract:Recent advancements in neuroimaging have led to greater data sharing among the scientific community. However, institutions frequently maintain control over their data, citing concerns related to research culture, privacy, and accountability. This creates a demand for innovative tools capable of analyzing amalgamated datasets without the need to transfer actual data between entities. To address this challenge, we propose a decentralized sparse federated learning (FL) strategy. This approach emphasizes local tra… Show more
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