2026
Obliviate: Efficient Unlearning in Recommender Systems
ICML 2026poster
Machine unlearning is becoming increasingly critical in the context of data privacy regulations, particularly for recommender systems that are directly trained on user interaction data. The goal of this work is to remove designated interactions and their downstream influence while preserving recomme…