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: "private information retrieval with side information"
  Abstract: We study the problem of Private Information Retrieval (PIR) in the presence of prior side information. The problem setup includes a database of $K$ independent messages possibly replicated on several servers, and a user that needs to retrieve one of these messages. In addition, the user has some prior side information in the form of a subset of $M$ messages, not containing the desired message and unknown to the servers. This problem is motivated by practical settings in which the user can obtain side information opportunistically from other users or has previously downloaded some messages using classical PIR schemes. The objective of the user is to retrieve the required message without revealing its identity while minimizing the amount of data downloaded from the servers. #R##N#We focus on achieving information-theoretic privacy in two scenarios: (i) the user wants to protect jointly its demand and side information; (ii) the user wants to protect only the information about its demand, but not the side information. To highlight the role of side information, we focus first on the case of a single server (single database). In the first scenario, we prove that the minimum download cost is $K-M$ messages, and in the second scenario it is $\lceil \frac{K}{M+1}\rceil$ messages, which should be compared to $K$ messages, the minimum download cost in the case of no side information. Then, we extend some of our results to the case of the database replicated on multiple servers. Our proof techniques relate PIR with side information to the index coding problem. We leverage this connection to prove converse results, as well as to design achievability schemes.

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 "private computation with individual and joint privacy"):
  with members:
    - "on an equivalence between single server pir with side information and locally recoverable codes"
    - "private information retrieval with private coded side information the multi server case"
    - "single server single message online private information retrieval with side information"
    - "single server multi message individually private information retrieval with side information"
    - "the role of coded side information in single server private information retrieval"
    - "multi server private information retrieval with coded side information"
    - "achievable rate of private function retrieval from mds coded databases"
    - "multi message private information retrieval with private side information"

Connected through hyperedge HE-3 (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-4 (induced by source paper "the capacity of private information retrieval from heterogeneous uncoded caching databases"):
  with members:
    - "staircase pir universally robust private information retrieval"
    - "the capacity of private information retrieval from uncoded storage constrained databases"
    - "private information retrieval from a cellular network with caching at the edge"
    - "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"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "capacity achieving private information retrieval codes with optimal message size and upload cost"
    - "converse for multi server single message pir with side information"

Connected through hyperedge HE-5 (induced by source paper "improved storage for efficient private information retrieval"):
  with members:
    - "the capacity of private information retrieval from heterogeneous uncoded caching databases"
    - "staircase pir universally robust private information retrieval"
    - "the capacity of private information retrieval from uncoded storage constrained databases"
    - "private information retrieval from a cellular network with caching at the edge"
    - "cross subspace alignment and the asymptotic capacity of x secure t private information retrieval"
    - "capacity achieving private information retrieval codes with optimal message size and upload cost"
    - "private information retrieval through wiretap channel ii privacy meets security"
    - "the capacity of private information retrieval with private side information under storage constraints"

Connected through hyperedge HE-6 (induced by source paper "on the asymptotic capacity of x secure t private information retrieval with graph based replicated storage"):
  with members:
    - "achievable rate of private function retrieval from mds coded databases"
    - "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"
    - "capacity achieving private information retrieval codes with optimal message size and upload cost"
    - "the capacity of private information retrieval with eavesdroppers"
    - "private information retrieval through wiretap channel ii privacy meets security"
    - "private information retrieval in graph based replication systems"
    - "asymmetry hurts private information retrieval under asymmetric traffic constraints"

Connected through hyperedge HE-7 (induced by source paper "the role of coded side information in single server private information retrieval"):
  with members:
    - "on an equivalence between single server pir with side information and locally recoverable codes"
    - "private information retrieval with private coded side information the multi server case"
    - "single server single message online private information retrieval with side information"
    - "single server multi message individually private information retrieval with side information"
    - "multi server private information retrieval with coded side information"
    - "multi message private information retrieval with private side information"
    - "capacity achieving private information retrieval codes with optimal message size and upload cost"
    - "the capacity of private information retrieval with private side information under storage constraints"

Connected through hyperedge HE-8 (induced by source paper "on the capacity of secure distributed matrix multiplication"):
  with members:
    - "the capacity of private information retrieval from uncoded storage constrained databases"
    - "cross subspace alignment and the asymptotic capacity of x secure t private information retrieval"
    - "straggler mitigation in distributed matrix multiplication fundamental limits and optimal coding"
    - "single server multi message private information retrieval with side information"
    - "on the capacity of secure distributed matrix multiplication"
    - "fundamental limits of cache aided private information retrieval with unknown and uncoded prefetching"
    - "the capacity of private information retrieval with private side information"
    - "the capacity of cache aided private information retrieval"

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)