A topology inference attack on decentralized federated learning reconstructs the overlay network from pairwise model similarity, reaching F1 around 0.85 in supervised settings and 0.60 to 0.67 when no labels or datasets are available.
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From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning
A topology inference attack on decentralized federated learning reconstructs the overlay network from pairwise model similarity, reaching F1 around 0.85 in supervised settings and 0.60 to 0.67 when no labels or datasets are available.