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 the placement delivery array design for centralized coded caching scheme"
  Abstract: Caching is a promising solution to satisfy the ever-increasing demands for the multi-media traffics. In caching networks, coded caching is a recently proposed technique that achieves significant performance gains over the uncoded caching schemes. However, to implement the coded caching schemes, each file has to be split into    $F$    packets, which usually increases exponentially with the number of users    $K$   . Thus, designing caching schemes that decrease the order of    $F$    is meaningful for practical implementations. In this paper, by reviewing the Ali-Niesen caching scheme, the placement delivery array (PDA) design problem is first formulated to characterize the placement issue and the delivery issue with a single array. Moreover, we show that, through designing appropriate PDA, new centralized coded caching schemes can be discovered. Second, it is shown that the Ali-Niesen scheme corresponds to a special class of PDA, which realizes the best coding gain with the least    $F$   . Third, we present a new construction of PDA for the centralized coded caching system, wherein the cache size    $M$    at each user (identical cache size is assumed at all users) and the number of files    $N$    satisfies    $M/N=1/q$    or    ${(q-1)}/{q}$    (   $q$    is an integer, such that    $q\geq 2$   ). The new construction can decrease the required    $F$    from the order    $O(e^{K\cdot (({M}/{N})\ln ({N}/{M}) +(1-({M}/{N}))\ln ~(N/(N-M))})$    of Ali-Niesen scheme to    $O(e^{K\cdot ({M}/{N})\ln \!\,({N}/\!{M})})$    or    $O(e^{K\cdot (1-({M}/\!{N}))\ln \!\,(N/(N-M))})$   , respectively, while the coding gain loss is only 1.

Connected through hyperedge HE-1 (induced by source paper "subexponential and linear subpacketization coded caching via line graphs and projective geometry"):
  with members:
    - "some new constructions of coded caching schemes with reduced subpacketization"
    - "a multi antenna coded caching scheme with linear subpacketization"
    - "decentralized coded caching without file splitting"
    - "subpacketization rate trade off in multi antenna coded caching"
    - "coded caching based on combinatorial designs"
    - "a unified framework for constructing centralized coded caching schemes"
    - "low subpacketization coded caching via projective geometry for broadcast and d2d networks"
    - "coded caching via projective geometry a new low subpacketization scheme"

Connected through hyperedge HE-2 (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"
    - "storage computation and communication a fundamental tradeoff in distributed computing"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "content caching and delivery in wireless radio access networks"):
  with members:
    - "mobility aware coded storage and delivery"
    - "cache aided fog radio access networks with partial connectivity"
    - "a converse bound for cache aided interference networks"
    - "treating content delivery in multi antenna coded caching as general message sets transmission a dof region perspective"
    - "fundamental limits of decentralized caching in fog rans with wireless fronthaul"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "decentralized coded caching in wireless networks trade off between storage and latency"
    - "online edge caching and wireless delivery in fog aided networks with dynamic content popularity"

Connected through hyperedge HE-4 (induced by source paper "fundamental limits of wireless caching under uneven capacity channels"):
  with members:
    - "subpacketization rate trade off in multi antenna coded caching"
    - "low subpacketization coded caching via projective geometry for broadcast and d2d networks"
    - "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"
    - "a low complexity cache aided multi antenna content delivery scheme"
    - "full coded caching gains for cache less users"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "centralized caching with unequal cache sizes"
    - "cache aided communications with multiple antennas at finite snr"

Connected through hyperedge HE-5 (induced by source paper "decentralized asynchronous coded caching design and performance analysis in fog radio access networks"):
  with members:
    - "asynchronous coded caching"
    - "user preference learning based edge caching for fog radio access network"
    - "decentralized asynchronous coded caching in fog ran"
    - "proactive edge computing in latency constrained fog networks"
    - "an online secretary framework for fog network formation with minimal latency"
    - "coded caching schemes with reduced subpacketization from linear block codes"
    - "centralized coded caching schemes a hypergraph theoretical approach"
    - "caching and delivery via interference elimination"

Connected through hyperedge HE-6 (induced by source paper "a unified framework for constructing centralized coded caching schemes"):
  with members:
    - "coded caching based on combinatorial designs"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "coded caching via line graphs of bipartite graphs"
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "optimal placement delivery arrays with minimum number of rows"
    - "coded caching with linear subpacketization is possible using ruzsa szem eredi graphs"
    - "coded caching schemes with reduced subpacketization from linear block codes"

Connected through hyperedge HE-7 (induced by source paper "subpacketization in coded caching with demand privacy"):
  with members:
    - "on coded caching with private demands"
    - "demand private coded caching"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "optimal placement delivery arrays with minimum number of rows"
    - "coded caching schemes with reduced subpacketization from linear block codes"
    - "private broadcasting an index coding approach"
    - "centralized coded caching schemes a hypergraph theoretical approach"

Connected through hyperedge HE-8 (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"
    - "coded distributed computing with node cooperation substantially increases speedup factors"
    - "straggler mitigation in distributed matrix multiplication fundamental limits and optimal coding"

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)