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 optimality of d2d coded caching with uncoded cache placement and one shot delivery"
  Abstract: We consider a cache-aided wireless device-to-device (D2D) network under the constraint of \emph{one-shot delivery}, where the placement phase is orchestrated by a central server. We assume that the devices' caches are filled with uncoded data, and the whole file database at the server is made available in the collection of caches. Following this phase, the files requested by the users are serviced by inter-device multicast communication. For such a system setting, we provide the exact characterization of load-memory trade-off, by deriving both the minimum average and the minimum peak sum-loads of links between devices, for a given individual memory size at disposal of each user. Capitalizing on the one-shot delivery property, we also propose an extension of the presented scheme that provides robustness against random user inactivity.

Connected through hyperedge HE-1 (induced by source paper "an index coding approach to caching with uncoded cache placement"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "coded caching with shared caches fundamental limits with uncoded prefetching"
    - "benefits of cache assignment on degraded broadcast channels"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "improved converses and gap results for coded caching"
    - "on the capacity for distributed index coding"
    - "coded caching for a large number of users"
    - "fundamental limits of caching improved bounds with coded prefetching"

Connected through hyperedge HE-2 (induced by source paper "on optimal load memory tradeoff of cache aided scalar linear function retrieval"):
  with members:
    - "codedprivateml a fast and privacy preserving framework for distributed machine learning"
    - "on coded caching with private demands"
    - "device to device private caching with trusted server"
    - "private and secure distributed matrix multiplication with flexible communication load"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on the fundamental limits of coded data shuffling for distributed learning systems"
    - "near optimal coded data shuffling for distributed learning"
    - "fundamental limits of decentralized data shuffling"

Connected through hyperedge HE-3 (induced by source paper "fundamental limits of device to device private caching with trusted server"):
  with members:
    - "on coded caching with private demands"
    - "subpacketization in coded caching with demand privacy"
    - "embedded index coding"
    - "private pliable index coding"
    - "demand private coded caching and the exact trade off for n k 2"
    - "demand private coded caching"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "private information retrieval from coded storage systems with colluding byzantine and unresponsive servers"

Connected through hyperedge HE-4 (induced by source paper "optimal load allocation for coded distributed computation in heterogeneous clusters"):
  with members:
    - "on model coding for distributed inference and transmission in mobile edge computing systems"
    - "coded matrix multiplication on a group based model"
    - "hierarchical coded computation"
    - "learning a code machine learning for approximate non linear coded computation"
    - "speeding up distributed machine learning using codes"
    - "speeding up distributed gradient descent by utilizing non persistent stragglers"
    - "hierarchical coding for distributed computing"
    - "distributed gradient descent with coded partial gradient computations"

Connected through hyperedge HE-5 (induced by source paper "device to device private caching with trusted server"):
  with members:
    - "on coded caching with private demands"
    - "subpacketization in coded caching with demand privacy"
    - "demand private coded caching"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "private information retrieval from coded storage systems with colluding byzantine and unresponsive servers"
    - "multi file private information retrieval from mds coded databases with colluding servers"
    - "the capacity of robust private information retrieval with colluding databases"
    - "the capacity of private information retrieval"

Connected through hyperedge HE-6 (induced by source paper "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"):
  with members:
    - "device to device private caching with trusted server"
    - "information theoretic analysis of d2d aided pipelined content delivery in fog ran"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "coded caching with linear subpacketization is possible using ruzsa szem eredi graphs"
    - "on the placement delivery array design for coded caching scheme in d2d networks"
    - "coded caching schemes with reduced subpacketization from linear block codes"
    - "towards practical file packetizations in wireless device to device caching networks"
    - "centralized coded caching schemes a hypergraph theoretical approach"

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)