• Computer Science > Networking and Internet Architecture [Submitted on 24 Feb 2026] Title:UnlinkableDFL: a Practical Mixnet Protocol for Churn-Tolerant Decentralized FL Model Sharing View PDF HTML (experimental)Abstract:Decentralized Federated Learning (DFL) eliminates the need for a central aggregator, but it can expose communication patterns that reveal participant identities • This work presents UnlinkableDFL, a DFL framework that combines a peer-based mixnet with fragment-based model aggregation to ensure unlinkability in fully decentralized settings • Model updates are divided into encrypted fragments, sent over separate multi-hop paths, and aggregated without using any identity information • A theoretical analysis indicates that relay and end-to-end unlinkability improve with larger mixing sets and longer paths, while convergence remains similar to standard FedAvg • A prototype implementation evaluates learning performance, latency, unlinkability, and resource usage • The results show that UnlinkableDFL converges reliably and adapts to node churn

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  • Computer Science > Networking and Internet Architecture [Submitted on 24 Feb 2026] Title:UnlinkableDFL: a Practical Mixnet Protocol for Churn-Tolerant Decentralized FL Model Sharing View PDF HTML (experimental)Abstract:Decentralized Federated Learning (DFL) eliminates the need for a central aggregator, but it can expose communication patterns that reveal participant identities. This work presents UnlinkableDFL, a DFL framework that combines a peer-based mixnet with fragment-based model aggregation to ensure unlinkability in fully decentralized settings. Model updates are divided into encrypted

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