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Blockchain-enabled verifiable federated learning with multi-dimensional incentive and dynamic consensus for privacy-sensitive domains
2026 · Discover Computing
Federated Learning (FL) has emerged as a core privacy-preserving paradigm to address data silos in privacy-sensitive domains. However, its practical deployment in heterogeneous cluster computing environments remains constrained by inherent challenges, including the trade-off between …