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US 2026/0010791 A1Published application
M2m with generative pretrained models
AssigneeHuawei Technologies Co., Ltd.
InventorsWen Tong, Yiqun Ge, Qifan Zhang, Jianglei Ma
Life of this patent
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AssigneeHuawei Technologies Co., Ltd.
InventorsWen Tong, Yiqun Ge, Qifan Zhang, Jianglei Ma
Estimating the term…
Aspects of the present application relate to a UE transmitting, to a cloud, one or more attentions rather than transmitting raw sensor information. To allow the UE to transmit the attentions, the UE implements an encoding network. The UE may then employ the encoding network to determine embeddings encoded by the raw sensor information, both spatial and temporal, collected at a plurality of sensors. On the basis of the embeddings, the UE may then determine the attentions, e.g., self-attention matrices and/or cross-attention matrices. The UE may then transmit, to the cloud, the attentions. At the cloud, the attentions may be processed to obtain actions. The cloud may then transmit, to the UE, instructions for carrying out the actions. Upon receipt of the instructions, the UE may carry out the actions.
A method comprising:
An apparatus comprising at least one processor coupled with a non-transitory computer readable medium storing executable instructions, when the executable instructions executed by the at least one processor, cause the apparatus perform operations, wherein the operations comprise:
A non-transitory computer readable medium storing executable instructions thereon, when the executable instructions executed by an apparatus, cause the apparatus perform operations, the operations comprising:
Dependencies are inferred from the claim text.