AutoDFL couples zk-rollups with a decentralized oracle network to scale blockchain-based federated learning and automate reputation scoring, reporting a projected 3000 TPS and up to 20x gas reduction.
Source inference attacks: Beyond membership inference attacks in federated learning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.DC 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
AutoDFL couples zk-rollups with a decentralized oracle network to scale blockchain-based federated learning and automate reputation scoring, reporting a projected 3000 TPS and up to 20x gas reduction.