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: "storage computation and communication a fundamental tradeoff in distributed computing"
  Abstract: Distributed computing has become one of the most important frameworks in dealing with large computation tasks. In this paper, we investigate a MapReduce like distributed computing system. Our main contribution is the characterization of the optimal tradeoff between storage space, computation load, and communication load. To this end, we derive an information-theoretical converse and show that time- and memory- sharing between the operating points achieved by the modified coded distributed computing (M-CDC) scheme proposed by Ezzeldin et al. attains all the points on this tradeoff. Our result thus extends the result by Li et al. on the optimum tradeoff between storage and communication to account also for the computation load. We further show how to obtain a distributed computing scheme from any placement delivery array (PDA) whose ordinary symbols occur at least twice. Previously proposed PDAs to solve the subpacketization problem in coded caching by Yan et al. and Shangguan et al. allow us then to derive optimal distributed computing schemes that require only a small number of files, and thus have reduced complexity.

Connected through hyperedge HE-1 (induced by source paper "coded distributed computing schemes with smaller numbers of input files and output functions"):
  with members:
    - "resolvable designs for speeding up distributed computing"
    - "speeding up distributed machine learning using codes"
    - "coded computing for distributed graph analytics"
    - "hierarchical coding for distributed computing"
    - "compressed coded distributed computing"
    - "a new combinatorial design of coded distributed computing"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"
    - "on the placement delivery array design for centralized coded caching scheme"

Connected through hyperedge HE-2 (induced by source paper "low complexity distributed computing via binary matrices with extension to stragglers"):
  with members:
    - "coded caching based on combinatorial designs"
    - "speeding up distributed machine learning using codes"
    - "communication vs distributed computation an alternative trade off curve"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "a unified coding framework for distributed computing with straggling servers"

Connected through hyperedge HE-3 (induced by source paper "a fundamental storage communication tradeoff in distributed computing with straggling nodes"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "speeding up distributed gradient descent by utilizing non persistent stragglers"
    - "hierarchical coding for distributed computing"
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "a storage computation communication tradeoff for distributed computing"
    - "coded distributed computing with node cooperation substantially increases speedup factors"
    - "straggler mitigation in distributed matrix multiplication fundamental limits and optimal coding"
    - "improved latency communication trade off for map shuffle reduce systems with stragglers"

Connected through hyperedge HE-4 (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"
    - "wireless mapreduce distributed computing"
    - "a new combinatorial design of coded distributed computing"
    - "on heterogeneous coded distributed computing"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "a scalable framework for wireless distributed computing"

Connected through hyperedge HE-5 (induced by source paper "fundamental limits of decentralized data shuffling"):
  with members:
    - "coded distributed computing with heterogeneous function assignments"
    - "cascaded coded distributed computing on heterogeneous networks"
    - "embedded index coding"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "leveraging coding techniques for speeding up distributed computing"
    - "speeding up distributed machine learning using codes"
    - "coded computing for distributed graph analytics"
    - "on the fundamental limits of coded data shuffling for distributed learning systems"

Connected through hyperedge HE-6 (induced by source paper "a storage computation communication tradeoff for distributed computing"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "communication vs distributed computation an alternative trade off curve"
    - "how to optimally allocate resources for coded distributed computing"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "a unified coding framework for distributed computing with straggling servers"

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.IT(Information Theory)