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High Noise Immune Time-domain Inversion via Cascade Network (TICaN) for Complex Scatterers
In this paper, a high noise immune time-domain inversion cascade network (TICaN) is proposed to reconstruct scatterers from the measured electromagnetic fields.
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data
Federated learning is a novel framework that enables resource-constrained edge devices to jointly learn a model, which solves the problem of data protection and data islands.
Adaptive Routing Between Capsules
Capsule network is the most recent exciting advancement in the deep learning field and represents positional information by stacking features into vectors.
Grouping Capsules Based Different Types
The larger the initial value of $c_{ij}$, the better effect of the model.
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