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: "common randomness and key generation with limited interaction"
  Abstract: The basic two-terminal common randomness (CR) and key generation models are considered, where the communication between the terminals may be limited, and in particular may not be enough to achieve the maximum CR/key rate. We introduce general notions of $XY$-absolutely continuity and $XY$-concave function, and characterize the first order CR/key-communication tradeoff in terms of the evaluation of the $XY$-concave envelope of a functional defined on a set of distributions, which is simpler than the multi-letter characterization. Two extreme cases are given special attention. First, in the regime of very small communication rates, the CR bits per interaction bit (CRBIB) and key bits per interaction bit (KBIB) are expressed with a new "symmetrical strong data processing constant", defined as the minimum of a parameter such that a certain information-theoretic functional touches its $XY$-concave envelope at a given source distribution. We also provide a computationally friendly strong converse bound for CRBIB and a similar (but not necessarily strong) one for KBIB in terms of the supremum of the maximal correlation coefficient over a set of distributions. The proof uses hypercontractivity and properties of the R\'enyi divergence. A criterion the tightness of the bound is given with applications to binary symmetric sources. Second, a new characterization of the minimum interaction rate needed for achieving the maximum key rate (MIMK) is given, and we resolve a conjecture by Tyagi and Narayan \cite{tyagi2013common} regarding the MIMK for binary sources. We also propose a new conjecture for binary symmetric sources.

Connected through hyperedge HE-1 (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"
    - "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"
    - "secret key agreement from correlated gaussian sources by rate limited public communication"

Connected through hyperedge HE-2 (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"
    - "info clustering a mathematical theory for data clustering"
    - "incremental and decremental secret key agreement"

Connected through hyperedge HE-3 (induced by source paper "secret key agreement under discussion rate constraints"):
  with members:
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "incremental and decremental secret key agreement"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "achieving sk capacity in the source model when must all terminals talk"
    - "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-4 (induced by source paper "resource efficient common randomness and secret key schemes"):
  with members:
    - "on the role of shared randomness in simultaneous communication"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "on maximal correlation hypercontractivity and the data processing inequality studied by erkip and cover"
    - "on extracting common random bits from correlated sources on large alphabets"

Connected through hyperedge HE-5 (induced by source paper "secret key generation through a relay"):
  with members:
    - "secure communication via an untrusted non regenerative relay in fading channels"
    - "on secure source coding with side information at the encoder"
    - "common information and secret key capacity"
    - "strongly secure communications over the two way wiretap channel"
    - "rate regions of secret key sharing in a new source model"
    - "cooperation with an untrusted relay a secrecy perspective"
    - "secret key agreement from correlated gaussian sources by rate limited public communication"
    - "multiterminal source coding with complementary 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)