The paper proposes a peer-to-peer federated learning framework with validation-loss-based model sharing and a weighted loss-correction term, but the correction term has zero gradient and the experiments show implausible identical results for two different architectures.
Plant disease dynamics in a changing climate: impacts, molecular mechanisms, and climate-informed strategies for sustainable management,
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Loss-Guided Model Sharing and Local Learning Correction in Decentralized Federated Learning for Crop Disease Classification
The paper proposes a peer-to-peer federated learning framework with validation-loss-based model sharing and a weighted loss-correction term, but the correction term has zero gradient and the experiments show implausible identical results for two different architectures.