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: "outer bounds for multiterminal source coding via a strong data processing inequality"
  Abstract: An intuitive outer bound for the multiterminal source coding problem is given. The proposed bound explicitly couples the rate distortion functions for each source and correlation measures which derive from a "strong" data processing inequality. Unlike many standard outer bounds, the proposed bound is not parameterized by a continuous family of auxiliary random variables, but instead only requires maximizing two ratios of divergences which do not depend on the distortion functions under consideration.

Connected through hyperedge HE-1 (induced by source paper "information theoretic perspectives on brascamp lieb inequality and its reverse"):
  with members:
    - "arimoto r enyi conditional entropy and bayesian m ary hypothesis testing"
    - "strengthening the entropy power inequality"
    - "algorithmic and optimization aspects of brascamp lieb inequalities via operator scaling"
    - "brascamp lieb inequality and its reverse an information theoretic view"
    - "converses for distributed estimation via strong data processing inequalities"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "on non interactive simulation of joint distributions"
    - "a note on the strong data processing inequalities in bayesian networks"

Connected through hyperedge HE-2 (induced by source paper "on the public communication needed to achieve sk capacity in the multiterminal source model"):
  with members:
    - "information complexity is computable"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "the communication complexity of achieving sk capacity in a class of pin models"
    - "achieving sk capacity in the source model when must all terminals talk"
    - "coded cooperative data exchange for a secret key"
    - "on the communication complexity of secret key generation in the multiterminal source model"
    - "wyner s common information generalizations and a new lossy source coding interpretation"
    - "common information and secret key capacity"

Connected through hyperedge HE-3 (induced by source paper "strengthening the entropy power inequality"):
  with members:
    - "forward and reverse entropy power inequalities in convex geometry"
    - "entropy bounds on abelian groups and the ruzsa divergence"
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "justification of logarithmic loss via the benefit of side information"
    - "dissipation of information in channels with input constraints"
    - "an extremal inequality for long markov chains"
    - "a strengthened entropy power inequality for log concave densities"
    - "strong data processing inequalities and phi sobolev inequalities for discrete channels"

Connected through hyperedge HE-4 (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"
    - "on maximal correlation hypercontractivity and the data processing inequality studied by erkip and cover"

Connected through hyperedge HE-5 (induced by source paper "secret key generation with limited interaction"):
  with members:
    - "strong data processing inequalities for channels and bayesian networks"
    - "the likelihood encoder for lossy compression"
    - "e_ gamma resolvability"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "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"
    - "common information and secret key capacity"

Connected through hyperedge HE-6 (induced by source paper "brascamp lieb inequality and its reverse an information theoretic view"):
  with members:
    - "information theoretic perspectives on brascamp lieb inequality and its reverse"
    - "converses for distributed estimation via strong data processing inequalities"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "a note on the strong data processing inequalities in bayesian networks"
    - "communication lower bounds for statistical estimation problems via a distributed data processing inequality"
    - "an extremal inequality for long markov chains"
    - "information theoretic applications of the logarithmic probability comparison bound"
    - "key capacity for product sources with application to stationary gaussian processes"

Connected through hyperedge HE-7 (induced by source paper "information theoretic lower bounds on bayes risk in decentralized estimation"):
  with members:
    - "strong data processing inequalities for channels and bayesian networks"
    - "are slepian wolf rates necessary for distributed parameter estimation"
    - "a note on the strong data processing inequalities in bayesian networks"
    - "communication lower bounds for statistical estimation problems via a distributed data processing inequality"
    - "on communication cost of distributed statistical estimation and dimensionality"
    - "optimality guarantees for distributed statistical estimation"
    - "strong data processing inequalities and phi sobolev inequalities for discrete channels"
    - "fundamental limits of online and distributed algorithms for statistical learning and estimation"

Connected through hyperedge HE-8 (induced by source paper "key capacity for product sources with application to stationary gaussian processes"):
  with members:
    - "the likelihood encoder for lossy compression"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "on the duality of additivity and tensorization"
    - "key capacity with limited one way communication for product sources"
    - "distributed channel synthesis"
    - "on maximal correlation hypercontractivity and the data processing inequality studied by erkip and cover"
    - "separation of reliability and secrecy in rate limited secret key generation"
    - "the rate distortion function for product of two sources with side information at decoders"

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)