Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration.
- DOI
- 10.1109/tpami.2026.3688672
- Published
- 2026 Sep
- Container
- IEEE transactions on pattern analysis and machine intelligence
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3688672,
title = {Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration.},
author = {Li Q and Zhang M and Liu Y and Yin Q and Shen L and Cao X},
year = {2026},
journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/tpami.2026.3688672},
url = {https://doi.org/10.1109/tpami.2026.3688672}
}RIS
TY - JOUR TI - Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration. AU - Li Q AU - Zhang M AU - Liu Y AU - Yin Q AU - Shen L AU - Cao X PY - 2026 JO - IEEE transactions on pattern analysis and machine intelligence DO - 10.1109/tpami.2026.3688672 UR - https://doi.org/10.1109/tpami.2026.3688672 ER -
APA
Q, L., M, Z., Y, L., Q, Y., L, S., & X, C. (2026). Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3688672
Source records
- pubmed · retrieved 2026-09-25T20:20:45.362Z