A Study of Enhancing Federated Learning on Non-IID Data with Server Learning.

Mai VS, La RJ, Zhang T

DOI: 10.1109/tai.2024.3430250
Published: 2024 Jul
Container: IEEE transactions on artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/tai.2024.3430250,
  title = {A Study of Enhancing Federated Learning on Non-IID Data with Server Learning.},
  author = {Mai VS and La RJ and Zhang T},
  year = {2024},
  journal = {IEEE transactions on artificial intelligence},
  doi = {10.1109/tai.2024.3430250},
  url = {https://doi.org/10.1109/tai.2024.3430250}
}

RIS

TY  - JOUR
TI  - A Study of Enhancing Federated Learning on Non-IID Data with Server Learning.
AU  - Mai VS
AU  - La RJ
AU  - Zhang T
PY  - 2024
JO  - IEEE transactions on artificial intelligence
DO  - 10.1109/tai.2024.3430250
UR  - https://doi.org/10.1109/tai.2024.3430250
ER  -

APA

VS, M., RJ, L., & T, Z. (2024). A Study of Enhancing Federated Learning on Non-IID Data with Server Learning.. IEEE transactions on artificial intelligence. https://doi.org/10.1109/tai.2024.3430250

Source records

pubmed · retrieved 2026-09-26T12:29:56.214Z
europe-pmc · retrieved 2026-09-26T12:29:56.209Z