RAF, resolution-adaptive federated learning, uses multi-resolution knowledge distillation to stop resolution differences between clients from degrading federated keypoint detection.
Communication-efficient learning of deep networks from decentralized data,
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Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection
RAF, resolution-adaptive federated learning, uses multi-resolution knowledge distillation to stop resolution differences between clients from degrading federated keypoint detection.