human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "on heterogeneous coded distributed computing"
  Abstract: We consider the recently proposed Coded Distributed Computing (CDC) framework that leverages carefully designed redundant computations to enable coding opportunities that substantially reduce the communication load of distributed computing. We generalize this framework to heterogeneous systems where different nodes in the computing cluster can have different storage (or processing) capabilities. We provide the information-theoretically optimal data set placement and coded data shuffling scheme that minimizes the communication load in a cluster with 3 nodes. For clusters with $K>3$ nodes, we provide an algorithm description to generalize our coding ideas to larger networks.

Connected through hyperedge HE-1 (induced by source paper "degrees of freedom of cache aided wireless cellular networks"):
  with members:
    - "content caching and delivery in wireless radio access networks"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "cache aided fog radio access networks with partial connectivity"
    - "treating content delivery in multi antenna coded caching as general message sets transmission a dof region perspective"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "fundamental tradeoff between storage and latency in cache aided wireless interference networks"
    - "scalable content delivery with coded caching in multi antenna fading channels"
    - "degrees of freedom of cache aided wireless interference networks"

Connected through hyperedge HE-2 (induced by source paper "on the optimality of d2d coded caching with uncoded cache placement and one shot delivery"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "speeding up distributed machine learning using codes"
    - "wireless mapreduce distributed computing"
    - "a pliable index coding approach to data shuffling"
    - "coded computation over heterogeneous clusters"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "coded caching in partially cooperative d2d communication networks"
    - "how to optimally allocate resources for coded distributed computing"

Connected through hyperedge HE-3 (induced by source paper "device to device coded caching with distinct cache sizes"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "device to device secure coded caching"
    - "on coded caching with heterogeneous distortion requirements"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "coded caching with heterogeneous cache sizes and link qualities the two user case"
    - "optimization of heterogeneous coded caching"
    - "coded caching in partially cooperative d2d communication networks"
    - "a novel index coding scheme and its application to coded caching"

Connected through hyperedge HE-4 (induced by source paper "how to distribute computation in networks"):
  with members:
    - "on the derivative imbalance and ambiguity of functions"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "lagrange coded computing optimal design for resiliency security and privacy"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "comments on cut set bounds on network function computation"
    - "computing linear functions by linear coding over networks"
    - "optimal function computation in directed and undirected graphs"

Connected through hyperedge HE-5 (induced by source paper "heterogeneous coded distributed computing joint design of file allocation and function assignment"):
  with members:
    - "coded distributed computing with heterogeneous function assignments"
    - "cascaded coded distributed computing on heterogeneous networks"
    - "leveraging coding techniques for speeding up distributed computing"
    - "storage computation and communication a fundamental tradeoff in distributed computing"
    - "wireless mapreduce distributed computing"
    - "a new combinatorial design of coded distributed computing"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "a scalable framework for wireless distributed computing"

Connected through hyperedge HE-6 (induced by source paper "coded distributed computing with heterogeneous function assignments"):
  with members:
    - "cascaded coded distributed computing on heterogeneous networks"
    - "leveraging coding techniques for speeding up distributed computing"
    - "distributed computing with heterogeneous communication constraints the worst case computation load and proof by contradiction"
    - "a new combinatorial design of coded distributed computing"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "on caching with more users than files"
    - "on the optimality of uncoded cache placement"

Connected through hyperedge HE-7 (induced by source paper "cascaded coded distributed computing on heterogeneous networks"):
  with members:
    - "leveraging coding techniques for speeding up distributed computing"
    - "distributed computing with heterogeneous communication constraints the worst case computation load and proof by contradiction"
    - "a new combinatorial design of coded distributed computing"
    - "a fundamental tradeoff between computation and communication in distributed computing"

Connected through hyperedge HE-8 (induced by source paper "coded computing for distributed graph analytics"):
  with members:
    - "coded cooperative computation for internet of things"
    - "leveraging coding techniques for speeding up distributed computing"
    - "speeding up distributed machine learning using codes"
    - "distributed computing with heterogeneous communication constraints the worst case computation load and proof by contradiction"
    - "compressed coded distributed computing"
    - "fundamental limits of coded linear transform"
    - "fundamental resource trade offs for encoded distributed optimization"
    - "rateless codes for near perfect load balancing in distributed matrix vector multiplication"

Question: Please tell me which class the center node 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)