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: "information theoretic privacy for smart metering systems with a rechargeable battery"
  Abstract: Smart-metering systems report electricity usage of a user to the utility provider on almost real-time basis. This could leak private information about the user to the utility provider. In this work we investigate the use of a rechargeable battery in order to provide privacy to the user. We assume that the user load sequence is a first-order Markov process, the battery satisfies ideal charge conservation, and that privacy is measured using normalized mutual information (leakage rate) between the user load and the battery output. We consider battery charging policies in this setup that satisfy the feasibility constraints. We propose a series reductions on the original problem and ultimately recast it as a Markov Decision Process (MDP) that can be solved using a dynamic program. In the special case of i.i.d. demand, we explicitly characterize the optimal policy and show that the associated leakage rate can be expressed as a single-letter mutual information expression. In this case we show that the optimal charging policy admits an intuitive interpretation of preserving a certain invariance property of the state. Interestingly an alternative proof of optimality can be provided that does not rely on the MDP approach, but is based on purely information theoretic reductions.

Connected through hyperedge HE-1 (induced by source paper "privacy aware time series data sharing with deep reinforcement learning"):
  with members:
    - "the long road to computational location privacy a survey"
    - "privacy cost trade off in a smart meter system with a renewable energy source and a rechargeable battery"
    - "privacy aware location sharing with deep reinforcement learning"
    - "privacy aware smart metering progress and challenges"
    - "matching anonymized and obfuscated time series to users profiles"
    - "achieving perfect location privacy in wireless devices using anonymization"
    - "smart meter privacy with renewable energy and a finite capacity battery"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-2 (induced by source paper "privacy cost trade off in a smart meter system with a renewable energy source and a rechargeable battery"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "smart meter privacy via the trapdoor channel"
    - "privacy protecting energy management unit through model distribution predictive control"
    - "smart meter privacy with renewable energy and a finite capacity battery"
    - "smart meter privacy for multiple users in the presence of an alternative energy source"
    - "increasing smart meter privacy through energy harvesting and storage devices"

Connected through hyperedge HE-3 (induced by source paper "privacy aware location sharing with deep reinforcement learning"):
  with members:
    - "the long road to computational location privacy a survey"
    - "privacy cost trade off in a smart meter system with a renewable energy source and a rechargeable battery"
    - "technical privacy metrics a systematic survey"
    - "smart meter privacy with renewable energy and a finite capacity battery"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-4 (induced by source paper "differential privacy techniques for cyber physical systems a survey"):
  with members:
    - "quantifying differential privacy in continuous data release under temporal correlations"
    - "sok differential privacies"
    - "improving the gaussian mechanism for differential privacy analytical calibration and optimal denoising"
    - "deep ehr a survey of recent advances in deep learning techniques for electronic health record ehr analysis"
    - "achieving differential privacy against non intrusive load monitoring in smart grid a fog computing approach"
    - "toward practical privacy preserving analytics for iot and cloud based healthcare systems"
    - "privacy preserving distributed deep learning for clinical data"
    - "re dpoctor real time health data releasing with w day differential privacy"

Connected through hyperedge HE-5 (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-6 (induced by source paper "optimal utility privacy trade off with the total variation distance as the privacy measure"):
  with members:
    - "estimation efficiency under privacy constraints"
    - "the utility cost of robust privacy guarantees"
    - "a tunable measure for information leakage"
    - "vgan based image representation learning for privacy preserving facial expression recognition"
    - "privacy preserving adversarial networks"
    - "privacy aware guessing efficiency"
    - "privacy utility tradeoffs under constrained data release mechanisms"
    - "an estimation theoretic view of privacy"

Connected through hyperedge HE-7 (induced by source paper "privacy aware smart metering progress and challenges"):
  with members:
    - "optimal demand side management for joint privacy cost optimization with energy storage"
    - "smart meter privacy via the trapdoor channel"
    - "privacy protecting energy management unit through model distribution predictive control"
    - "privacy optimal strategies for smart metering systems with a rechargeable battery"
    - "smart meter privacy with an energy harvesting device and instantaneous power constraints"
    - "the uk dale dataset domestic appliance level electricity demand and whole house demand from five uk homes"
    - "smart meter privacy for multiple users in the presence of an alternative energy source"
    - "increasing smart meter privacy through energy harvesting and storage devices"

Connected through hyperedge HE-8 (induced by source paper "joint privacy cost optimization in smart electricity metering systems"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "optimal demand side management for joint privacy cost optimization with energy storage"
    - "privacy protecting energy management unit through model distribution predictive control"
    - "the uk dale dataset domestic appliance level electricity demand and whole house demand from five uk homes"
    - "smart meter privacy for multiple users in the presence of an alternative energy source"

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)