@InProceedings{canonne_et_al:LIPIcs.ITCS.2025.25,
  author =	{Canonne, Cl\'{e}ment L. and Gentle, Abigail},
  title =	{{Locally Private Histograms in All Privacy Regimes}},
  booktitle =	{16th Innovations in Theoretical Computer Science Conference (ITCS 2025)},
  pages =	{25:1--25:24},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-361-4},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{325},
  editor =	{Meka, Raghu},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2025.25},
  URN =		{urn:nbn:de:0030-drops-226532},
  doi =		{10.4230/LIPIcs.ITCS.2025.25},
  annote =	{Keywords: Differential Privacy, Local Differential Privacy, Histograms, Frequency Estimation, Lower Bounds, Maximum Error}
}