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: "privacy in index coding k limited access schemes"
  Abstract: In the traditional index coding problem, a server employs coding to send messages to $n$ clients within the same broadcast domain. Each client already has some messages as side information and requests a particular unknown message from the server. All clients learn the coding matrix so that they can decode and retrieve their requested data. Our starting observation is that, learning the coding matrix can pose privacy concerns: it may enable a client to infer information about the requests and side information of other clients. In this paper, we mitigate this privacy concern by allowing each client to have limited access to the coding matrix. In particular, we design coding matrices so that each client needs only to learn some of (and not all) the rows to decode her requested message. By means of two different privacy metrics, we first show that this approach indeed increases the level of privacy. Based on this, we propose the use of $k$-limited-access schemes: given an index coding scheme that employs $T$ transmissions, we create a $k$-limited-access scheme with $T_k\geq T$ transmissions, and with the property that each client needs at most $k$ transmissions to decode her message. We derive upper and lower bounds on $T_k$ for all values of $k$, and develop deterministic designs for these schemes, which are universal, i.e., independent of the coding matrix. We show that our schemes are order-optimal when either $k$ or $n$ is large. Moreover, we propose heuristics that complement the universal schemes for the case when both $n$ and $k$ are small.

Connected through hyperedge HE-1 (induced by source paper "index codes with minimum locality for three receiver unicast problems"):
  with members:
    - "locality in index coding for large min rank"
    - "reduced complexity index codes and improved upperbound on broadcast rate for neighboring interference problems"
    - "speeding up distributed machine learning using codes"
    - "on locally decodable index codes"
    - "the single uniprior index coding problem the single sender case and the multi sender extension"
    - "on a duality between recoverable distributed storage and index coding"
    - "bounding multiple unicasts through index coding and locally repairable codes"
    - "local graph coloring and index coding"

Connected through hyperedge HE-2 (induced by source paper "locality in index coding for large min rank"):
  with members:
    - "on locally decodable index codes"
    - "on a duality between recoverable distributed storage and index coding"
    - "bounding multiple unicasts through index coding and locally repairable codes"
    - "fundamental limits of caching"
    - "an equivalence between network coding and index coding"
    - "on linear index coding for random graphs"
    - "on the security of index coding with side information"
    - "on the index coding problem and its relation to network coding and matroid theory"

Connected through hyperedge HE-3 (induced by source paper "on locally decodable index codes"):
  with members:
    - "reduced complexity index codes and improved upperbound on broadcast rate for neighboring interference problems"
    - "speeding up distributed machine learning using codes"
    - "preserving privacy while broadcasting k limited access schemes"
    - "local partial clique covers for index coding"
    - "on a duality between recoverable distributed storage and index coding"
    - "graph theory versus minimum rank for index coding"
    - "topological interference management through index coding"
    - "bounding multiple unicasts through index coding and locally repairable codes"

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)