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News/Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy
arxiv
PublishedApril 27, 2026 at 4:00 AM

Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

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arXiv:2604.22562v1 Announce Type: cross Abstract: Client contribution estimation in Federated Learning is necessary for identifying clients' importance and for providing fair rewards. Current methods often rely on server-side validation data or self-reported client information, which can compromise

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