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Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy
Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy arXiv:2604.22562v1 Announce Type: cross Abstract: Client contribution estimation in Federated Learning is necessary for identify…
Why it matters
Context is key—contribution has been building for months. This development could accelerate changes in estimation.