DSFL partitions participants into small dynamic shards and uses linear integrity tags for verifiable secure aggregation, achieving lower latency and high recovery in cross-institution fraud detection experiments.
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Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection
DSFL partitions participants into small dynamic shards and uses linear integrity tags for verifiable secure aggregation, achieving lower latency and high recovery in cross-institution fraud detection experiments.