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Found 5 papers, 2 papers with code
DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels
In edge-cloud collaborative intelligence (CI), an unreliable transmission channel exists in the information path of the AI model performing the inference.
CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence
In collaborative intelligence, an artificial intelligence (AI) model is typically split between an edge device and the cloud.
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence
In collaborative intelligence applications, part of a deep neural network (DNN) is deployed on a lightweight device such as a mobile phone or edge device, and the remaining portion of the DNN is processed where more computing resources are available, such as in the cloud.
Lightweight compression of neural network feature tensors for collaborative intelligence
In collaborative intelligence applications, part of a deep neural network (DNN) is deployed on a relatively low-complexity device such as a mobile phone or edge device, and the remainder of the DNN is processed where more computing resources are available, such as in the cloud.
Back-and-Forth prediction for deep tensor compression
Recent AI applications such as Collaborative Intelligence with neural networks involve transferring deep feature tensors between various computing devices.
