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: "secret key agreement from correlated gaussian sources by rate limited public communication"
  Abstract: We investigate the secret key agreement from correlated Gaussian sources in which the legitimate parties can use the public communication with limited rate. For the class of protocols with the one-way public communication, we show a closed form expression of the optimal trade-off between the rate of key generation and the rate of the public communication. Our results clarify an essential difference between the key agreement from discrete sources and that from continuous sources.

Connected through hyperedge HE-1 (induced by source paper "multiterminal secret key agreement with nearly no discussion"):
  with members:
    - "upper bounds via lamination on the constrained secrecy capacity of hypergraphical sources"
    - "multiterminal secret key agreement at asymptotically zero discussion rate"
    - "secret key agreement under discussion rate constraints"
    - "compressed secret key agreement maximizing multivariate mutual information per bit"
    - "on the optimality of secret key agreement via omniscience"
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "secret key generation with limited interaction"
    - "info clustering a mathematical theory for data clustering"

Connected through hyperedge HE-2 (induced by source paper "secret key generation for minimally connected hypergraphical sources"):
  with members:
    - "secrecy capacity under limited discussion rate for minimally connected hypergraphical sources"
    - "upper bounds via lamination on the constrained secrecy capacity of hypergraphical sources"
    - "secret key agreement under discussion rate constraints"
    - "on the optimality of secret key agreement via omniscience"
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "secret key generation with limited interaction"
    - "info clustering a mathematical theory for data clustering"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"

Connected through hyperedge HE-3 (induced by source paper "upper bounds via lamination on the constrained secrecy capacity of hypergraphical sources"):
  with members:
    - "multiterminal secret key agreement at asymptotically zero discussion rate"
    - "secret key agreement under discussion rate constraints"
    - "on the optimality of secret key agreement via omniscience"
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "secret key generation with limited interaction"
    - "incremental and decremental secret key agreement"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "coded cooperative data exchange for a secret key"

Connected through hyperedge HE-4 (induced by source paper "multiterminal secret key agreement at asymptotically zero discussion rate"):
  with members:
    - "upper bounds via lamination on the constrained secrecy capacity of hypergraphical sources"
    - "secret key agreement under discussion rate constraints"
    - "common randomness and key generation with limited interaction"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "coded cooperative data exchange for a secret key"
    - "common information and secret key capacity"
    - "perfect omniscience perfect secrecy and steiner tree packing"
    - "secret key generation for a pairwise independent network model"

Connected through hyperedge HE-5 (induced by source paper "compressed secret key agreement maximizing multivariate mutual information per bit"):
  with members:
    - "secret key agreement under discussion rate constraints"
    - "opening the black box of deep neural networks via information"
    - "on the optimality of secret key agreement via omniscience"
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "duality between feature selection and data clustering"
    - "a lattice coding scheme for secret key generation from gaussian markov tree sources"
    - "common randomness and key generation with limited interaction"
    - "info clustering a mathematical theory for data clustering"

Connected through hyperedge HE-6 (induced by source paper "stealthy secret key generation"):
  with members:
    - "fundamental limits of communication with low probability of detection"
    - "covert communication over noisy channels a resolvability perspective"
    - "reliable deniable communication hiding messages in noise"
    - "limits of reliable communication with low probability of detection on awgn channels"
    - "informational divergence approximations to product distributions"
    - "effective secrecy reliability confusion and stealth"
    - "secret key agreement by soft decision of signals in gaussian maurer s model"
    - "on the role of mmse estimation in approaching the information theoretic limits of linear gaussian channels shannon meets wiener"

Connected through hyperedge HE-7 (induced by source paper "common randomness and key generation with limited interaction"):
  with members:
    - "the likelihood encoder for lossy compression"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "a note on the strong data processing inequalities in bayesian networks"
    - "converses for secret key agreement and secure computing"
    - "secret key agreement general capacity and second order asymptotics"
    - "key capacity for product sources with application to stationary gaussian processes"
    - "outer bounds for multiterminal source coding via a strong data processing inequality"

Connected through hyperedge HE-8 (induced by source paper "security analysis of varepsilon almost dual universal 2 hash functions smoothing of min entropy versus smoothing of renyi entropy of order 2"):
  with members:
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "uniform random number generation from markov chains non asymptotic and asymptotic analyses"
    - "equivocations exponents and second order coding rates under various r enyi information measures"
    - "non asymptotic and asymptotic analyses of information processing on markov chains"
    - "tight exponential analysis of universally composable privacy amplification and its applications"
    - "secret key generation from gaussian sources using lattice hashing"
    - "non asymptotic analysis of privacy amplification via renyi entropy and inf spectral entropy"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"

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)