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: "the capacity of private information retrieval"
  Abstract: In the private information retrieval (PIR) problem a user wishes to retrieve, as efficiently as possible, one out of $K$ messages from $N$ non-communicating databases (each holds all $K$ messages) while revealing nothing about the identity of the desired message index to any individual database. The information theoretic capacity of PIR is the maximum number of bits of desired information that can be privately retrieved per bit of downloaded information. For $K$ messages and $N$ databases, we show that the PIR capacity is $(1+1/N+1/N^2+\cdots+1/N^{K-1})^{-1}$. A remarkable feature of the capacity achieving scheme is that if we eliminate any subset of messages (by setting the message symbols to zero), the resulting scheme also achieves the PIR capacity for the remaining subset of messages.

Connected through hyperedge HE-1 (induced by source paper "gcsa codes with noise alignment for secure coded multi party batch matrix multiplication"):
  with members:
    - "codedprivateml a fast and privacy preserving framework for distributed machine learning"
    - "x secure t private information retrieval from mds coded storage with byzantine and unresponsive servers"
    - "distributed and private coded matrix computation with flexible communication load"
    - "secure coded multi party computation for massive matrix operations"
    - "on the asymptotic capacity of x secure t private information retrieval with graph based replicated storage"
    - "private secure coded computation"
    - "coded matrix multiplication on a group based model"
    - "cross subspace alignment codes for coded distributed batch computation"

Connected through hyperedge HE-2 (induced by source paper "latent variable private information retrieval"):
  with members:
    - "x secure t private information retrieval from mds coded storage with byzantine and unresponsive servers"
    - "the capacity of private information retrieval from heterogeneous uncoded caching databases"
    - "breaking the mds pir capacity barrier via joint storage coding"
    - "robust private information retrieval from coded systems with byzantine and colluding servers"
    - "the capacity of private information retrieval from uncoded storage constrained databases"
    - "an mds pir capacity achieving protocol for distributed storage using non mds linear codes"
    - "private information retrieval from coded storage systems with colluding byzantine and unresponsive servers"
    - "cross subspace alignment and the asymptotic capacity of x secure t private information retrieval"

Connected through hyperedge HE-3 (induced by source paper "towards practical private information retrieval from mds array codes"):
  with members:
    - "a new capacity achieving private information retrieval scheme with almost optimal file length for coded servers"
    - "on the pir capacity of msr codes"
    - "breaking the mds pir capacity barrier via joint storage coding"
    - "a generic transformation to enable optimal repair in mds codes for distributed storage systems"
    - "capacity achieving private information retrieval codes with optimal message size and upload cost"
    - "private information retrieval from mds coded data in distributed storage systems"
    - "on sub packetization and access number of capacity achieving pir schemes for mds coded non colluding servers"
    - "private information retrieval schemes with regenerating codes"

Connected through hyperedge HE-4 (induced by source paper "the capacity of single server weakly private information retrieval"):
  with members:
    - "x secure t private information retrieval from mds coded storage with byzantine and unresponsive servers"
    - "on the information leakage in private information retrieval systems"
    - "weakly private information retrieval"
    - "on the capacity of private information retrieval from coded colluding and adversarial servers"
    - "asymmetry helps improved private information retrieval protocols for distributed storage"
    - "lifting private information retrieval from two to any number of messages"
    - "an operational approach to information leakage"
    - "capacity achieving private information retrieval codes with optimal message size and upload cost"

Connected through hyperedge HE-5 (induced by source paper "towards the capacity of private information retrieval from coded and colluding servers"):
  with members:
    - "on the capacity of private information retrieval from coded colluding and adversarial servers"
    - "lifting private information retrieval from two to any number of messages"
    - "private information retrieval from coded storage systems with colluding byzantine and unresponsive servers"
    - "on the capacity of single server multi message private information retrieval with side information"
    - "capacity of single server single message private information retrieval with coded side information"
    - "the capacity of private information retrieval from byzantine and colluding databases"
    - "private information retrieval from mds coded data with colluding servers settling a conjecture by freij hollanti et al"
    - "secure symmetric private information retrieval from colluding databases with adversaries"

Connected through hyperedge HE-6 (induced by source paper "private information retrieval over gaussian mac"):
  with members:
    - "noisy private information retrieval on separability of channel coding and information retrieval"
    - "asymptotically optimal scheduling for compute and forward"
    - "private information retrieval from mds coded data in distributed storage systems"
    - "the capacity of private information retrieval with partially known private side information"
    - "gaussian multiple access via compute and forward"
    - "the capacity of private information retrieval from byzantine and colluding databases"
    - "the necessity of scheduling in compute and forward"
    - "the capacity of robust private information retrieval with colluding databases"

Connected through hyperedge HE-7 (induced by source paper "conditional disclosure of secrets a noise and signal alignment approach"):
  with members:
    - "expand and randomize an algebraic approach to secure computation"
    - "private sequential function computation"
    - "private set intersection a multi message symmetric private information retrieval perspective"
    - "the capacity of anonymous communications"
    - "cross subspace alignment and the asymptotic capacity of x secure t private information retrieval"
    - "on the capacity of secure distributed matrix multiplication"
    - "lagrange coded computing optimal design for resiliency security and privacy"
    - "blind interference alignment for private information retrieval"

Connected through hyperedge HE-8 (induced by source paper "on the capacity of private monomial computation"):
  with members:
    - "private polynomial computation for noncolluding coded databases"
    - "achievable rate of private function retrieval from mds coded databases"
    - "capacity of private linear computation for coded databases"
    - "private computation of systematically encoded data with colluding servers"
    - "private polynomial computation from lagrange encoding"
    - "private function retrieval"
    - "the capacity of private computation"

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)