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: "a fundamental tradeoff between computation and communication in distributed computing"
  Abstract: How can we optimally trade extra computing power to reduce the communication load in distributed computing? We answer this question by characterizing a fundamental tradeoff between computation and communication in distributed computing, i.e., the two are inversely proportional to each other. #R##N#More specifically, a general distributed computing framework, motivated by commonly used structures like MapReduce, is considered, where the overall computation is decomposed into computing a set of "Map" and "Reduce" functions distributedly across multiple computing nodes. A coded scheme, named "Coded Distributed Computing" (CDC), is proposed to demonstrate that increasing the computation load of the Map functions by a factor of $r$ (i.e., evaluating each function at $r$ carefully chosen nodes) can create novel coding opportunities that reduce the communication load by the same factor. #R##N#An information-theoretic lower bound on the communication load is also provided, which matches the communication load achieved by the CDC scheme. As a result, the optimal computation-communication tradeoff in distributed computing is exactly characterized. #R##N#Finally, the coding techniques of CDC is applied to the Hadoop TeraSort benchmark to develop a novel CodedTeraSort algorithm, which is empirically demonstrated to speed up the overall job execution by $1.97\times$ - $3.39\times$, for typical settings of interest.

Connected through hyperedge HE-1 (induced by source paper "subexponential and linear subpacketization coded caching via line graphs and projective geometry"):
  with members:
    - "some new constructions of coded caching schemes with reduced subpacketization"
    - "a multi antenna coded caching scheme with linear subpacketization"
    - "decentralized coded caching without file splitting"
    - "subpacketization rate trade off in multi antenna coded caching"
    - "coded caching based on combinatorial designs"
    - "a unified framework for constructing centralized coded caching schemes"
    - "low subpacketization coded caching via projective geometry for broadcast and d2d networks"
    - "coded caching via projective geometry a new low subpacketization scheme"

Connected through hyperedge HE-2 (induced by source paper "degrees of freedom of cache aided wireless cellular networks"):
  with members:
    - "content caching and delivery in wireless radio access networks"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "cache aided fog radio access networks with partial connectivity"
    - "treating content delivery in multi antenna coded caching as general message sets transmission a dof region perspective"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "fundamental tradeoff between storage and latency in cache aided wireless interference networks"
    - "scalable content delivery with coded caching in multi antenna fading channels"
    - "on heterogeneous coded distributed computing"

Connected through hyperedge HE-3 (induced by source paper "on optimal load memory tradeoff of cache aided scalar linear function retrieval"):
  with members:
    - "codedprivateml a fast and privacy preserving framework for distributed machine learning"
    - "on coded caching with private demands"
    - "device to device private caching with trusted server"
    - "private and secure distributed matrix multiplication with flexible communication load"
    - "on the optimality of d2d coded caching with uncoded cache placement and one shot delivery"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on the fundamental limits of coded data shuffling for distributed learning systems"
    - "near optimal coded data shuffling for distributed learning"

Connected through hyperedge HE-4 (induced by source paper "coded computing for boolean functions"):
  with members:
    - "codedprivateml a fast and privacy preserving framework for distributed machine learning"
    - "slack squeeze coded computing for adaptive straggler mitigation"
    - "secure coded multi party computation for massive matrix operations"
    - "timely throughput optimal coded computing over cloud networks"
    - "gradient coding based on block designs for mitigating adversarial stragglers"
    - "hierarchical coded computation"
    - "speeding up distributed machine learning using codes"
    - "lagrange coded computing optimal design for resiliency security and privacy"

Connected through hyperedge HE-5 (induced by source paper "coded distributed computing schemes with smaller numbers of input files and output functions"):
  with members:
    - "resolvable designs for speeding up distributed computing"
    - "speeding up distributed machine learning using codes"
    - "storage computation and communication a fundamental tradeoff in distributed computing"
    - "coded computing for distributed graph analytics"
    - "hierarchical coding for distributed computing"
    - "compressed coded distributed computing"
    - "a new combinatorial design of coded distributed computing"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"

Connected through hyperedge HE-6 (induced by source paper "heterogeneous computation assignments in coded elastic computing"):
  with members:
    - "an optimal iterative placement algorithm for pir from heterogeneous storage constrained databases"
    - "optimizing the transition waste in coded elastic computing"
    - "speeding up distributed machine learning using codes"
    - "coded elastic computing"
    - "straggler mitigation in distributed matrix multiplication fundamental limits and optimal coding"
    - "near optimal coded data shuffling for distributed learning"

Connected through hyperedge HE-7 (induced by source paper "low complexity distributed computing via binary matrices with extension to stragglers"):
  with members:
    - "coded caching based on combinatorial designs"
    - "speeding up distributed machine learning using codes"
    - "storage computation and communication a fundamental tradeoff in distributed computing"
    - "communication vs distributed computation an alternative trade off curve"
    - "a unified coding framework for distributed computing with straggling servers"

Connected through hyperedge HE-8 (induced by source paper "coded data rebalancing fundamental limits and constructions"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "a piggybacking design framework for read and download efficient distributed storage codes"
    - "fundamental limits of caching"

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)