Sine: Similarity is Not Enough for Mitigating Local Model Poisoning Attacks in Federated Learning
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DOI: 10.1109/tdsc.2024.3353317
Abstract: Federated learning is a collaborative machine learning paradigm that brings the model to the edge for training over the participants’ local data under the orchestration of a trusted server. Though this paradigm protects data privacy,… read more here.
Keywords: model poisoning; similarity enough; model; sine similarity ... See more keywords