Can We Trust the Similarity Measurement in Federated Learning?
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DOI: 10.1109/tifs.2024.3516567
Abstract: Is it secure to measure the reliability of local models by similarity in federated learning (FL)? This paper delves into an unexplored security threat concerning applying similarity metrics, such as the $L_{2}$ norm, Euclidean distance,… read more here.
Keywords: local models; faker; similarity metrics; model ... See more keywords