Non-iid data and Continual Learning processes in Federated Learning: a long road ahead



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Document Outline

  • Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
    • Introduction
    • Overview on Federated Learning
    • Non-IID data in Federated Learning
      • Taxonomy of data heterogeneity
      • State-of-the-art classification: Personalization strategies
        • Client-level personalization
        • Group-level personalization
      • Statistical taxonomy for non-IID strategies
        • Changes in the input space throughout clients
        • Changes in the behaviour throughout clients
    • Non-IID Data in Continual Learning: Concept Drift
      • Concept drift definition
      • Concept drift detection
    • Addressing Federated and Continual non-IID data
    • Experiments
      • Spatial non-IID scenarios
      • Temporal non-IID scenarios
    • Challenges and future directions
    • CRediT authorship contribution statement
    • Declaration of competing interest
    • Acknowledgements
    • References

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