human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "run time deep model multiplexing"):
  Abstract: We propose a framework to design a light-weight neural multiplexer that given input and resource budgets, decides upon the appropriate model to be called for the inference. Mobile devices can use this framework to offload the hard inputs to the cloud while inferring the easy ones locally. Besides, in the large scale cloud-based intelligent applications, instead of replicating the most-accurate model, a range of small and large models can be multiplexed from depending on the input's complexity and resource budgets. Our experimental results demonstrate the effectiveness of our framework benefiting both mobile users and cloud providers.

Includes members:
  Member "bottlenet a deep learning architecture for intelligent mobile cloud computing services":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep joint transmission recognition for power constrained iot devices")
  Member "towards collaborative intelligence friendly architectures for deep learning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "bit allocation for multi task collaborative intelligence")
  Member "jointdnn an efficient training and inference engine for intelligent mobile cloud computing services":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "efficient training of deep convolutional neural networks by augmentation in embedding space")
  Member "deep feature compression for collaborative object detection":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "collaborative inference for efficient remote monitoring")
  Member "mnasnet platform aware neural architecture search for mobile":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "automl zero evolving machine learning algorithms from scratch")
  Member "an analysis of deep neural network models for practical applications":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "crl class representative learning for image classification")
  Member "mobilenets efficient convolutional neural networks for mobile vision applications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "discrimination aware network pruning for deep model compression")
  Member "distributed deep neural networks over the cloud the edge and end devices":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "mdinference balancing inference accuracy andlatency for mobile applications")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DC(Distributed, Parallel, and Cluster Computing)