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 under discussion rate constraints"
  Abstract: For the multiterminal secret key agreement problem, new single-letter lower bounds are obtained on the public discussion rate required to achieve any given secret key rate below the secrecy capacity. The results apply to general source model without helpers or wiretapper's side information but can be strengthened for hypergraphical sources. In particular, for the pairwise independent network, the results give rise to a complete characterization of the maximum secret key rate achievable under a constraint on the total discussion rate.

Connected through hyperedge HE-1 (induced by source paper "secret key agreement for hypergraphical sources with limited total discussion"):
  with members:
    - "multiterminal secret key agreement with nearly no discussion"
    - "one shot perfect secret key agreement for finite linear sources"
    - "secrecy capacity under limited discussion rate for minimally connected hypergraphical sources"
    - "upper bounds via lamination on the constrained secrecy capacity of hypergraphical sources"
    - "multiterminal secret key agreement at asymptotically zero discussion rate"
    - "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"

Connected through hyperedge HE-2 (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"
    - "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"
    - "incremental and decremental secret key agreement"

Connected through hyperedge HE-3 (induced by source paper "part i improving computational efficiency of communication for omniscience"):
  with members:
    - "part ii a practical approach for successive omniscience"
    - "improving computational efficiency of communication for omniscience and successive omniscience"
    - "a faster algorithm for asymptotic communication for omniscience"
    - "info clustering a mathematical theory for data clustering"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "efficient algorithms for the data exchange problem"
    - "coded cooperative data exchange in multihop networks"
    - "perfect omniscience perfect secrecy and steiner tree packing"

Connected through hyperedge HE-4 (induced by source paper "one shot perfect secret key agreement for finite linear sources"):
  with members:
    - "multiterminal secret key agreement with nearly no discussion"
    - "upper bounds via lamination on the constrained secrecy capacity of hypergraphical sources"
    - "multiterminal secret key agreement at asymptotically zero discussion rate"
    - "on the optimality of secret key agreement via omniscience"
    - "secret key generation with limited interaction"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "efficient algorithms for the data exchange problem"
    - "coded cooperative data exchange for a secret key"

Connected through hyperedge HE-5 (induced by source paper "wiretap secret key capacity of tree pin"):
  with members:
    - "secrecy capacity under limited discussion rate for minimally connected hypergraphical sources"
    - "on the optimality of secret key agreement via omniscience"
    - "the private key capacity of a cooperative pairwise independent network"
    - "the communication complexity of achieving sk capacity in a class of pin models"
    - "coded cooperative data exchange for a secret key"
    - "perfect omniscience perfect secrecy and steiner tree packing"
    - "secret key generation for a pairwise independent network model"
    - "group secret key generation algorithms"

Connected through hyperedge HE-6 (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"
    - "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"
    - "coded cooperative data exchange for a secret key"

Connected through hyperedge HE-7 (induced by source paper "interactive secure function computation"):
  with members:
    - "robust privacy utility tradeoffs under differential privacy and hamming distortion"
    - "communication rounds tradeoffs for common randomness and secret key generation"
    - "communication and randomness lower bounds for secure computation"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "information complexity density and simulation of protocols"
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "distributed channel synthesis"
    - "common information and secret key capacity"

Connected through hyperedge HE-8 (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"
    - "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"
    - "common information and secret key capacity"

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)