human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "diffusion leaky lms algorithm analysis and implementation"):
  Abstract: Abstract   The diffusion least-mean-square (dLMS) algorithms have attracted much attention owing to its robustness for distributed estimation problems. However, the performance of such algorithms may change when they are implemented for acoustic echo cancellation (AEC) systems. To overcome this problem, a leaky dLMS algorithm is proposed in this work, which is characterized by its numerical stability and small steady-state error for noisy speech signals. Then, we perform some stability and convergence analyses of the proposed algorithm for Gaussian inputs and verify the theory results by simulations. As an added contribution in this paper, we further develop a new variable leakage factor (VLF) strategy for the leaky dLMS algorithm to overcome the parameter selection of adaptation. Finally, implementations of the proposed algorithms in the context of system identification and  stereophonic AEC (SAEC)  network are performed. Simulation results illustrate that the leaky diffusion algorithms achieve improved performance as compared with the existing algorithms.

Includes members:
  Member "diffusion lms strategies in sensor networks with noisy input data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distributed interference cancellation in multi agent scenarios")
  Member "diffusion adaptation over multi agent networks with wireless link impairments":
    also connected through other hyperedges:
      (none)
  Member "a novel normalized sign algorithm for system identification under impulsive noise interference":
    also connected through other hyperedges:
      (none)
  Member "compressive diffusion strategies over distributed networks for reduced communication load":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a multitask diffusion strategy with optimized inter cluster cooperation")
  Member "distributed decision making over adaptive networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "diffusion multi rate lms algorithm for acoustic sensor networks")
  Member "estimation of space time varying parameters using a diffusion lms algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "adaptation and learning over networks under subspace constraints part i stability analysis")
  Member "analysis of a reduced communication diffusion lms algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the asymptotic bias of the diffusion based distributed pareto optimization")
  Member "sparse distributed learning based on diffusion adaptation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deterministic and randomized diffusion based iterative generalized hard thresholding difight for distributed sparse signal recovery")

Question: Please tell me which class the source paper 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)