Houzhe Wang
2 indexed papers
Recent (6 mo)
2With code
0Influential cites
0Benchmarked
0Publications per year
226
Top categories
ML×2Crypto×2
Frequent co-authors
Research Timeline
2026
Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement
The paper proposes Jellyfish, a zero-shot federated unlearning scheme that effectively removes the influence of forgotten data from federated learning models while maintaining model utility and privacy.
Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation
This paper introduces the first complete pipeline for federated unlearning, proposing an efficient unlearning approach and a novel visualization framework (Skyeye) to evaluate a model's forgetting capacity.
Highlighted terms show continued research focus across papers
Papers
cs.LGcs.CRRecentApr 6, 2026
Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation
This paper introduces the first complete pipeline for federated unlearning, proposing an efficient unlearning approach and a novel visualization framework (Skyeye) to evaluate a model's forgetting cap…
View →
cs.CRcs.LGRecentApr 5, 2026