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 distributed algorithm for solving a linear algebraic equation"
  Abstract: A distributed algorithm is described for solving a linear algebraic equation of the form $Ax=b$ assuming the equation has at least one solution. The equation is simultaneously solved by $m$ agents assuming each agent knows only a subset of the rows of the partitioned matrix $(A,b)$, the current estimates of the equation's solution generated by its neighbors, and nothing more. Each agent recursively updates its estimate by utilizing the current estimates generated by each of its neighbors. Neighbor relations are characterized by a time-dependent directed graph $\mathbb{N}(t)$ whose vertices correspond to agents and whose arcs depict neighbor relations. It is shown that for any matrix $A$ for which the equation has a solution and any sequence of "repeatedly jointly strongly connected graphs" $\mathbb{N}(t)$, $t=1,2,\ldots$, the algorithm causes all agents' estimates to converge exponentially fast to the same solution to $Ax=b$. It is also shown that the neighbor graph sequence must actually be repeatedly jointly strongly connected if exponential convergence is to be assured. A worst case convergence rate bound is derived for the case when $Ax=b$ has a unique solution. It is demonstrated that with minor modification, the algorithm can track the solution to $Ax = b$, even if $A$ and $b$ are changing with time, provided the rates of change of $A$ and $b$ are sufficiently small. It is also shown that in the absence of communication delays, exponential convergence to a solution occurs even if the times at which each agent updates its estimates are not synchronized with the update times of its neighbors. A modification of the algorithm is outlined which enables it to obtain a least squares solution to $Ax=b$ in a distributed manner, even if $Ax=b$ does not have a solution.

Connected through hyperedge HE-1 (induced by source paper "lyapunov criterion for stochastic systems and its applications in distributed computation"):
  with members:
    - "finite time consensus using stochastic matrices with positive diagonals"

Connected through hyperedge HE-2 (induced by source paper "grand challenges of resilience autonomous system resilience through design and runtime measures"):
  with members:
    - "spherical text embedding"
    - "straggler mitigation with tiered gradient codes"
    - "certified adversarial robustness via randomized smoothing"
    - "lower bounds on adversarial robustness from optimal transport"
    - "a reinforcement learning based approach for joint multi agent decision making"
    - "vstore a data store for analytics on large videos"
    - "optimal server selection for straggler mitigation"
    - "formal security analysis of neural networks using symbolic intervals"

Connected through hyperedge HE-3 (induced by source paper "a distributed observer for a discrete time linear system"):
  with members:
    - "a distributed observer for a time invariant linear system"
    - "a hybrid observer for a distributed linear system with a changing neighbor graph"
    - "distributed observers for lti systems"

Connected through hyperedge HE-4 (induced by source paper "dynamical privacy in distributed computing part i privacy loss and ppsc mechanism"):
  with members:
    - "decentralized gradient algorithm for solution of a linear equation"
    - "distributed sensor localization in random environments using minimal number of anchor nodes"

Connected through hyperedge HE-5 (induced by source paper "finite time distributed state estimation over time varying graphs exploiting the age of information"):
  with members:
    - "a distributed observer for a time invariant linear system"
    - "byzantine resilient distributed observers for lti systems"
    - "a hybrid observer for a distributed linear system with a changing neighbor graph"
    - "distributed observers for lti systems"
    - "conditions for detectability in distributed consensus based observer networks"

Connected through hyperedge HE-6 (induced by source paper "privacy preserving gossip algorithms"):
  with members:
    - "a new perspective on randomized gossip algorithms"
    - "finite time convergent gossiping"
    - "consensus over random graph processes network borel cantelli lemmas for almost sure convergence"
    - "distributed sensor localization in random environments using minimal number of anchor nodes"

Connected through hyperedge HE-7 (induced by source paper "a distributed algorithm for solving linear algebraic equations over random networks"):
  with members:
    - "decentralized gradient algorithm for solution of a linear equation"
    - "a distributed algorithm for solving positive definite linear equations over networks with membership dynamics"
    - "distributed recursive least squares stability and performance analysis"

Connected through hyperedge HE-8 (induced by source paper "a distributed algorithm for least square solutions of linear equations"):
  with members:
    - "decentralized gradient algorithm for solution of a linear equation"
    - "on the stability and convergence of a class of consensus systems with a nonlinear input"
    - "distributed evaluation and convergence of self appraisals in social networks"
    - "distributed constrained optimization by consensus based primal dual perturbation method"
    - "a distributed algorithm for solving positive definite linear equations over networks with membership dynamics"
    - "average consensus on general strongly connected digraphs"
    - "fast distributed gradient methods"
    - "distributed parameter estimation in sensor networks nonlinear observation models and imperfect communication"

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.SY(Systems and Control)