Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/to-be-forgotten-or-to-be-fair-unveiling-fairness-implications-of-machine-unlearning-methods
MLA“To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/to-be-forgotten-or-to-be-fair-unveiling-fairness-implications-of-machine-unlearning-methods.
BibTeX@misc{4ortxyz_to-be-forgotten-or-to-be-fair-unveiling-fairness-implications-of-machine-unlearning-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods}}, year = {2026}, url = {https://4ort.xyz/entity/to-be-forgotten-or-to-be-fair-unveiling-fairness-implications-of-machine-unlearning-methods}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods — https://4ort.xyz/entity/to-be-forgotten-or-to-be-fair-unveiling-fairness-implications-of-machine-unlearning-methods (retrieved 2026-05-24)
