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: "coded distributed computing with node cooperation substantially increases speedup factors"
  Abstract: This work explores a distributed computing setting where $K$ nodes are assigned fractions (subtasks) of a computational task in order to perform the computation in parallel. In this setting, a well-known main bottleneck has been the inter-node communication cost required to parallelize the task, because unlike the computational cost which could keep decreasing as $K$ increases, the communication cost remains approximately constant, thus bounding the total speedup gains associated to having more computing nodes. This bottleneck was substantially ameliorated by the recent introduction of coded MapReduce techniques which allowed each node --- at the computational cost of having to preprocess approximately $t$ times more subtasks --- to reduce its communication cost by approximately $t$ times. In reality though, the associated speed up gains were severely limited by the requirement that larger $t$ and $K$ necessitated that the original task be divided into an extremely large number of subtasks. In this work we show how node cooperation, along with a novel assignment of tasks, can help to dramatically ameliorate this limitation. The result applies to wired as well as wireless distributed computing, and it is based on the idea of having groups of nodes compute identical parallelization (mapping) tasks and then employing a here-proposed novel D2D coded caching algorithm.

Connected through hyperedge HE-1 (induced by source paper "a fundamental storage communication tradeoff in distributed computing with straggling nodes"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "storage computation and communication a fundamental tradeoff in distributed computing"
    - "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"
    - "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-2 (induced by source paper "fundamental limits of caching in heterogeneous networks with uncoded prefetching"):
  with members:
    - "cooperative multi sender index coding"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "leveraging coding techniques for speeding up distributed computing"
    - "achieving spatial scalability for coded caching over wireless networks"
    - "a new combinatorial design of coded distributed computing"
    - "low subpacketization schemes for coded caching"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "coded caching with linear subpacketization is possible using ruzsa szem eredi graphs"

Connected through hyperedge HE-3 (induced by source paper "wireless mapreduce distributed computing"):
  with members:
    - "leveraging coding techniques for speeding up distributed computing"
    - "speeding up distributed machine learning using codes"
    - "federated learning strategies for improving communication efficiency"
    - "distributed computing with heterogeneous communication constraints the worst case computation load and proof by contradiction"
    - "coded computing for distributed graph analytics"
    - "hierarchical coding for distributed computing"
    - "compressed coded distributed computing"
    - "a new combinatorial design of coded distributed computing"

Connected through hyperedge HE-4 (induced by source paper "adding transmitters dramatically boosts coded caching gains for finite file sizes"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on the optimality of separation between caching and delivery in general cache networks"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "coded caching with linear subpacketization is possible using ruzsa szem eredi graphs"
    - "interference networks with caches at both ends"
    - "on coded caching in the overloaded miso broadcast channel"
    - "multi antenna coded caching"
    - "degrees of freedom of cache aided wireless interference networks"

Connected through hyperedge HE-5 (induced by source paper "storage computation and communication a fundamental tradeoff in distributed computing"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "hierarchical coding for distributed computing"
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "a storage computation communication tradeoff for distributed computing"
    - "straggler mitigation in distributed matrix multiplication fundamental limits and optimal coding"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"
    - "communication vs distributed computation an alternative trade off curve"
    - "on the placement delivery array design for centralized coded caching scheme"

Connected through hyperedge HE-6 (induced by source paper "wireless map reduce distributed computing with full duplex radios and imperfect csi"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "speeding up distributed gradient descent by utilizing non persistent stragglers"
    - "a storage computation communication tradeoff for distributed computing"
    - "data shuffling in wireless distributed computing via low rank optimization"
    - "improved latency communication trade off for map shuffle reduce systems with stragglers"
    - "wireless mapreduce distributed computing"
    - "cloud edge non orthogonal transmission for fog networks with delayed csi at the cloud"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"

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)