YUAN, D., GUO, T., HUANG, Z. und JIN, S., 2026. Distributed Approximate Computing With Constant Locality. IEEE Transactions on Information Theory, Information Theory, IEEE Transactions on, IEEE Trans. Inform. Theory. 1 Januar 2026. Vol. 72, no. 1, p. 1-16. DOI 10.1109/TIT.2025.3636477.
Elsevier - Harvard (with titles)Yuan, D., Guo, T., Huang, Z., Jin, S., 2026. Distributed Approximate Computing With Constant Locality. IEEE Transactions on Information Theory, Information Theory, IEEE Transactions on, IEEE Trans. Inform. Theory 72, 1-16. https://doi.org/10.1109/TIT.2025.3636477
American Psychological Association 7th editionYuan, D., Guo, T., Huang, Z., & Jin, S. (2026). Distributed Approximate Computing With Constant Locality. IEEE Transactions on Information Theory, Information Theory, IEEE Transactions On, IEEE Trans. Inform. Theory, 72(1), 1-16. https://doi.org/10.1109/TIT.2025.3636477
Springer - Basic (author-date)Yuan D, Guo T, Huang Z, Jin S (2026) Distributed Approximate Computing With Constant Locality. IEEE Transactions on Information Theory, Information Theory, IEEE Transactions on, IEEE Trans. Inform. Theory 72:1-16. https://doi.org/10.1109/TIT.2025.3636477
Juristische Zitierweise (Stüber) (Deutsch)Yuan, D./ Guo, T./ Huang, Z./ Jin, S., Distributed Approximate Computing With Constant Locality, IEEE Transactions on Information Theory, Information Theory, IEEE Transactions on, IEEE Trans. Inform. Theory 2026, 1-16.