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 coded caching with private demands"
  Abstract: Caching is an efficient way to reduce network traffic congestion during peak hours by storing some content at the user's local cache memory without knowledge of later demands. For the shared-link caching model, Maddah-Ali and Niesen (MAN) proposed a two-phase (placement and delivery phases) coded caching strategy, which is order optimal within a constant factor. However, in the MAN scheme, each user can obtain the information about the demands of other users, i.e., the MAN scheme is inherently prone to tampering and spying the activity/demands of other users. In this paper, we formulate a shared-link caching model with private demands. Our goal is to design a two-phase private caching scheme with minimum load while preserving the privacy of the demands of each user with respect to other users. Two private caching schemes are proposed with some (order) optimality results. We also propose a private scheme to further reduce the transmitted load for the case where each user has a distinct request, e.g., in practical asynchronous streaming users always have distinct demands. Finally, this scheme is extended to the general demand case, which is order optimal for any memory size, but with an extremely high sub-packetization level. While the ensemble of our results essentially close the problem of (order) optimal coded caching subject to the privacy of users' demands, the problem of how to achieve this optimality in the small memory regime without an exponentially large expansion of the sub-packetization order remains as an interesting open problem for future investigation.

Connected through hyperedge HE-1 (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"
    - "device to device private caching with trusted server"
    - "private and secure distributed matrix multiplication with flexible communication load"
    - "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"
    - "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-2 (induced by source paper "fundamental limits of device to device private caching with trusted server"):
  with members:
    - "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"
    - "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-3 (induced by source paper "subpacketization in coded caching with demand privacy"):
  with members:
    - "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"
    - "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-4 (induced by source paper "device to device private caching with trusted server"):
  with members:
    - "subpacketization in coded caching with demand privacy"
    - "on the optimality of d2d coded caching with uncoded cache placement and one shot delivery"
    - "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-5 (induced by source paper "demand private coded caching and the exact trade off for n k 2"):
  with members:
    - "subpacketization in coded caching with demand privacy"
    - "demand private coded caching"
    - "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"

Connected through hyperedge HE-6 (induced by source paper "demand private coded caching"):
  with members:
    - "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"
    - "caching aided coded multicasting with multiple random requests"
    - "fundamental limits of caching with secure delivery"
    - "improved lower bounds for coded caching"

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)