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: "demand private coded caching"
  Abstract: The work by Maddah-Ali and Niesen demonstrated the benefits in reducing the transmission rate in a noiseless broadcast network by joint design of caching and delivery schemes. In their setup, each user learns the demands of all other users in the delivery phase. In this paper, we introduce the problem of demand private coded caching where we impose a privacy requirement that no user learns any information about the demands of other users. We provide an achievable scheme and compare its performance using the existing lower bounds on the achievable rates under no privacy setting. For this setting, when $N\leq K$ we show that our scheme is order optimal within a multiplicative factor of 8. Furthermore, when $N > K$ and $M\geq N/K$, our scheme is order optimal within a multiplicative factor of 4.

Connected through hyperedge HE-1 (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"
    - "on the optimality of d2d coded caching with uncoded cache placement and one shot delivery"
    - "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-2 (induced by source paper "subpacketization in coded caching with demand privacy"):
  with members:
    - "on coded caching with private demands"
    - "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"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "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-3 (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"
    - "on the optimality of d2d coded caching with uncoded cache placement and one shot delivery"
    - "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-4 (induced by source paper "demand private coded caching and the exact trade off for n k 2"):
  with members:
    - "on coded caching with private demands"
    - "subpacketization in coded caching with demand privacy"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "improved converses and gap results for coded caching"
    - "private coded caching"
    - "on the optimality of uncoded cache placement"
    - "fundamental limits of caching with secure delivery"

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)