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Armadillo: Robust Single-Server Secure Aggregation for Federated Learning with Input Validation
This paper presents a secure aggregation system Armadillo that has disruptive resistance against adversarial clients, such that any coalition of malicious clients (within the tolerated threshold) can affect the aggregation result only by misreporting their private inputs in a pre-defined legitimate
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