December 27, 2024
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A complete survey of federated switch studying: Challenges, strategies and functions
Federated Studying (FL) has gained vital consideration as a novel distributed machine studying paradigm that permits collaborative mannequin coaching whereas preserving knowledge privateness. Nevertheless, conventional FL strategies face challenges comparable to knowledge heterogeneity, system heterogeneity, and labeled knowledge shortage.
To deal with these points, Federated Switch Studying (FTL), which integrates Switch Studying (TL) into FL, has attracted the eye of quite a few researchers. Nevertheless, since FL permits a steady share of information amongst individuals with every communication spherical whereas not permitting native knowledge to be accessed by different individuals, FTL faces many distinctive challenges that aren’t current in TL.
To supply a complete overview of the most recent developments within the discipline FTL and supply invaluable insights for researchers, a analysis group led by Fuzhen Zhuang printed their new analysis on 15 December 2024 in Frontiers of Laptop Science.
Within the analysis, the authors classify the frequent settings of FTL situations into six classes: homogeneous FTL, heterogeneous FTL, dynamic heterogeneous FTL, mannequin adaptive FTL, semi-supervised FTL, and unsupervised FTL. They systematically summarize the options to those challenges primarily based on present FTL works, masking elements comparable to motivation, core algorithms, mannequin design, privacy-preserving mechanisms, and communication architectures.
The survey not solely covers the theoretical elements of FTL but in addition highlights its sensible functions. The authors talk about the significance of methods and infrastructure within the success of FTL and description its present functions throughout varied domains. In addition they suggest future prospects for the event and adoption of FTL.
This complete survey serves as a invaluable useful resource for researchers and practitioners working within the fields of machine studying, knowledge privateness, and distributed computing. It gives a stable basis for understanding the challenges and alternatives in FTL and is anticipated to stimulate additional developments on this quickly evolving discipline.
Extra data: Wei Guo et al, A complete survey of federated switch studying: challenges, strategies and functions, Frontiers of Laptop Science (2024). DOI: 10.1007/s11704-024-40065-x
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