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: "competitive privacy in the smart grid an information theoretic approach"
  Abstract: Advances in sensing and communication capabilities as well as power industry deregulation are driving the need for distributed state estimation at the regional transmission organizations (RTOs). This leads to a new competitive privacy problem amongst the RTOs since there is a tension between sharing data to ensure network reliability (utility/benefit to all RTOs) and withholding data for profitability and privacy reasons. The resulting tradeoff between utility, quantified via fidelity of its state estimate at each RTO, and privacy, quantified via the leakage of the state of one RTO at other RTOs, is captured precisely using a lossy source coding problem formulation for a two RTO network. For a two-RTO model, it is shown that the set of all feasible utility-privacy pairs can be achieved via a single round of communication when each RTO communicates taking into account the correlation between the measured data at both RTOs. The lossy source coding problem and solution developed here is also of independent interest.

Connected through hyperedge HE-1 (induced by source paper "tunable measures for information leakage and applications to privacy utility tradeoffs"):
  with members:
    - "robustness of maximal alpha leakage to side information"
    - "data privacy for a rho recoverable function"
    - "an operational approach to information leakage"
    - "optimal utility privacy trade off with the total variation distance as the privacy measure"
    - "robust privacy utility tradeoffs under differential privacy and hamming distortion"
    - "privacy aware guessing efficiency"
    - "renyi differential privacy"
    - "hypothesis testing under mutual information privacy constraints in the high privacy regime"

Connected through hyperedge HE-2 (induced by source paper "context aware generative adversarial privacy"):
  with members:
    - "estimation efficiency under privacy constraints"
    - "privacy loss in apple s implementation of differential privacy on macos 10 12"
    - "information theoretic privacy with general distortion constraints"
    - "ensemble estimation of mutual information"
    - "deeprotect enabling inference based access control on mobile sensing applications"
    - "information potential auto encoders"
    - "privacy aware mmse estimation"
    - "minimax filter learning to preserve privacy from inference attacks"

Connected through hyperedge HE-3 (induced by source paper "privacy guaranteed two agent interactions using information theoretic mechanisms"):
  with members:
    - "extremal mechanisms for local differential privacy"
    - "from the information bottleneck to the privacy funnel"
    - "utility privacy tradeoffs in databases an information theoretic approach"
    - "privacy against statistical inference"
    - "multiterminal source coding with an entropy based distortion measure"
    - "the infinite message limit of two terminal interactive source coding"

Connected through hyperedge HE-4 (induced by source paper "differential privacy of populations in routing games"):
  with members:
    - "jointly private convex programming"
    - "learning nash equilibria in congestion games"
    - "differentially private distributed optimization"
    - "regret analysis of stochastic and nonstochastic multi armed bandit problems"

Connected through hyperedge HE-5 (induced by source paper "enabling data exchange in two agent interactive systems under privacy constraints"):
  with members:
    - "utility privacy tradeoffs in databases an information theoretic approach"

Connected through hyperedge HE-6 (induced by source paper "quantifying the utility privacy tradeoff in the smart grid"):
  with members:
    - "utility privacy tradeoffs in databases an information theoretic approach"

Connected through hyperedge HE-7 (induced by source paper "utility privacy tradeoffs in databases an information theoretic approach"):
  with members:
    - "calibrating data to sensitivity in private data analysis"
    - "privacy against statistical inference"
    - "on privacy preserving histograms"
    - "discriminatory lossy source coding side information privacy"
    - "on the relation between differential privacy and quantitative information flow"
    - "an information theoretic approach to privacy"
    - "secure source coding with a helper"
    - "privacy constraints in regularized convex optimization"

Connected through hyperedge HE-8 (induced by source paper "smart grid communications overview of research challenges solutions and standardization activities"):
  with members:
    - "smart meter privacy a utility privacy framework"
    - "distributed demand response and user adaptation in smart grids"

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)