Decoder, Encoder, Controller, Method And Computer Program For Updating Neural Network Parameters Using Node Information

Abstract: Embodiments according to the invention comprise a decoder for decoding parameters of a neural network, wherein the decoder is configured to obtain a plurality of neural network parameters of the neural network on the basis of an encoded bitstream. Furthermore, the decoder is configured to obtain, e.g. to receive; e.g. to extract from an encoded bitstream, a node information describing a node of a parameter update tree, wherein the node information comprises a parent node identifier, which is, for example, a unique parent node identifier, for example an integer number, a string, and/or a cryptographic hash, and wherein the node information comprises a parameter update information, e.g. one or more update instructions, for example a difference signal between initial neural network parameters and a newer version thereof, e.g. corresponding to a child node of the update tree. Moreover, the decoder is configured to derive one or more neural network parameters using parameter information of a parent node (the parameter information comprising, for example a node information of the parent node, the node information for example comprising a parameter update information and a parent node identifier of the parent node, e.g. for a recursive reconstruction or recursive determination or recursive calculation or recursive derivation of the one or more neural network parameters and/or for example comprising a node parameter of the parent node, e.g. neural network parameters associated with the parent node, e.g. neural network parameters implicitly defined by the node information of the parent node) identified by the parent node identifier and using the parameter update information, which may, for example, be included in the node information.

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