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PRoVeFL achieves unprecedented efficiency in federated learning, improving runtime by up to 100x while ensuring robust privacy and verifiability.
Surprisingly, the error in estimating counts for hierarchical prefixes remains constant regardless of hierarchy height or the number of heavy hitters.