mlsanityData to 14 Oct 2026

Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data

arXiv 2410.08961 ↗First posted 11 Oct 2024cs.LG cs.AIcited by 3

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Abstract (arXiv)

Federated Kolmogorov-Arnold Networks (F-KANs) have already been proposed, but their assessment is at an initial stage. We present a comparison between KANs (using B-splines and Radial Basis Functions as activation functions) and Multi- Layer Perceptrons (MLPs) with a similar number of parameters for 100 rounds of federated learning in the MNIST classification task using non-IID partitions with 100 clients. After 15 trials for each model, we show that the best accuracies achieved by MLPs can be achieved by Spline-KANs in half of the time (in rounds), with just a moderate increase in computing time.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 14 of its 23 references that are in the map. First posted on arXiv 11 Oct 2024.

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14 of 23 references.

References · 14

  1. 2016Communication-Efficient Learning of Deep Networks from Decentralized Datacited by 7,669
  2. 2016Densely Connected Convolutional Networkscited by 6,720
  3. 2018Federated Optimization in Heterogeneous Networkscited by 2,987
  4. 2018LEAF: A Benchmark for Federated Settingscited by 792
  5. 2024KAN: Kolmogorov-Arnold Networkscited by 649
  6. 2020Flower: A Friendly Federated Learning Research Frameworkcited by 455
  7. 2024Kolmogorov-Arnold Networks are Radial Basis Function Networkscited by 128
  8. 2024Wav-KAN: Wavelet Kolmogorov-Arnold Networkscited by 122
  9. 2024Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximationcited by 118
  10. 2024fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functionscited by 64
  11. 2024GKAN: Graph Kolmogorov-Arnold Networkscited by 53
  12. 2024Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformationcited by 42
2 more
  1. 2024ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLUcited by 33
  2. 2024An Innovative Networks in Federated Learningcited by 1

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Cited by year

Citing papers per year: 2025: 3.

3 papers.

  1. 2025A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imagingcited by 3
  2. 2025Concurrent training methods for Kolmogorov-Arnold networks: Disjoint datasets and FPGA implementationcited by 2
  3. 2025Enhancing Federated Learning with Kolmogorov-Arnold Networks: A Comparative Study Across Diverse Aggregation Strategiescited by 1