KFCA is a strictly truthful incentive mechanism for federated learning using only categorical client reports under an honest majority, fixing label-flipping issues in prior Correlated Agreement methods.
Clients 1–2 have 80% digits1/2and 20% spread over remaining digits; clients 3–4 are skewed to3/4, etc
1 Pith paper cite this work. Polarity classification is still indexing.
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Knowledge-Free Correlated Agreement for Incentivizing Federated Learning
KFCA is a strictly truthful incentive mechanism for federated learning using only categorical client reports under an honest majority, fixing label-flipping issues in prior Correlated Agreement methods.