Unverified50% confidenceFactExact time
The relationship between federated training and explanation quality is non-monotonic: when the data distribution is close to IID or moderately heterogeneous, the explanation faithfulness of federated models can match or even exceed the centralized baseline; but under extreme heterogeneity, explanations collapse entirely.
1
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50%
Confidence
Long-term
Relevance
10/30/2026
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