SCOPE-FL is a synchronous HFL system that applies the TTC algorithm to client selection for simultaneous Pareto efficiency and strategy-proofness, uses One-Round Reconstruction for Shapley rewards, and runs on blockchain.
Federated learning: From theory to practice,
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SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System
SCOPE-FL is a synchronous HFL system that applies the TTC algorithm to client selection for simultaneous Pareto efficiency and strategy-proofness, uses One-Round Reconstruction for Shapley rewards, and runs on blockchain.