Streamlined Federated Unlearning: Unite as One to Be Highly Efficient
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Lei, Zhu, Youwen, Xue, Qiao, Zhang, Ji, Zhang, Pengfei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model Inversion Attack against Federated Unlearning
by: Zhou, Lei, et al.
Published: (2025)
by: Zhou, Lei, et al.
Published: (2025)
Vertical Federated Unlearning via Backdoor Certification
by: Han, Mengde, et al.
Published: (2024)
by: Han, Mengde, et al.
Published: (2024)
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
by: Gu, Hanlin, et al.
Published: (2024)
by: Gu, Hanlin, et al.
Published: (2024)
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
by: Zhong, Zhengyi, et al.
Published: (2025)
by: Zhong, Zhengyi, et al.
Published: (2025)
Goldfish: An Efficient Federated Unlearning Framework
by: Wang, Houzhe, et al.
Published: (2024)
by: Wang, Houzhe, et al.
Published: (2024)
Federated Unlearning Model Recovery in Data with Skewed Label Distributions
by: Yu, Xinrui, et al.
Published: (2024)
by: Yu, Xinrui, et al.
Published: (2024)
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
by: Wang, Shurong, et al.
Published: (2024)
by: Wang, Shurong, et al.
Published: (2024)
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
by: Fraboni, Yann, et al.
Published: (2022)
by: Fraboni, Yann, et al.
Published: (2022)
Adaptive Graph Unlearning
by: Ding, Pengfei, et al.
Published: (2025)
by: Ding, Pengfei, et al.
Published: (2025)
Federated Graph Unlearning
by: Ai, Yuming, et al.
Published: (2025)
by: Ai, Yuming, et al.
Published: (2025)
Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation
by: Wang, Houzhe, et al.
Published: (2026)
by: Wang, Houzhe, et al.
Published: (2026)
Federated Unlearning in the Wild: Rethinking Fairness and Data Discrepancy
by: Huang, ZiHeng, et al.
Published: (2025)
by: Huang, ZiHeng, et al.
Published: (2025)
Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging
by: Cai, Zhaoyuan, et al.
Published: (2026)
by: Cai, Zhaoyuan, et al.
Published: (2026)
SupertonicTTS: Towards Highly Efficient and Streamlined Text-to-Speech System
by: Kim, Hyeongju, et al.
Published: (2025)
by: Kim, Hyeongju, et al.
Published: (2025)
Certified Unlearning in Decentralized Federated Learning
by: Wu, Hengliang, et al.
Published: (2026)
by: Wu, Hengliang, et al.
Published: (2026)
Efficient Federated Unlearning under Plausible Deniability
by: Varshney, Ayush K., et al.
Published: (2024)
by: Varshney, Ayush K., et al.
Published: (2024)
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph
by: Xu, Heng, et al.
Published: (2024)
by: Xu, Heng, et al.
Published: (2024)
Dual-Phase Federated Deep Unlearning via Weight-Aware Rollback and Reconstruction
by: Zhou, Changjun, et al.
Published: (2025)
by: Zhou, Changjun, et al.
Published: (2025)
PrivEraserVerify: Efficient, Private, and Verifiable Federated Unlearning
by: Goswami, Parthaw, et al.
Published: (2026)
by: Goswami, Parthaw, et al.
Published: (2026)
Communication Efficient and Provable Federated Unlearning
by: Tao, Youming, et al.
Published: (2024)
by: Tao, Youming, et al.
Published: (2024)
Reinforcement Unlearning
by: Ye, Dayong, et al.
Published: (2023)
by: Ye, Dayong, et al.
Published: (2023)
Toward Efficient Data-Free Unlearning
by: Zhang, Chenhao, et al.
Published: (2024)
by: Zhang, Chenhao, et al.
Published: (2024)
Soft Weighted Machine Unlearning
by: Qiao, Xinbao, et al.
Published: (2025)
by: Qiao, Xinbao, et al.
Published: (2025)
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation
by: Jiang, Yu, et al.
Published: (2024)
by: Jiang, Yu, et al.
Published: (2024)
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation
by: Xu, Heng, et al.
Published: (2024)
by: Xu, Heng, et al.
Published: (2024)
Federated Unlearning for Human Activity Recognition
by: Chen, Kongyang, et al.
Published: (2024)
by: Chen, Kongyang, et al.
Published: (2024)
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
by: Wen, Siyuan, et al.
Published: (2025)
by: Wen, Siyuan, et al.
Published: (2025)
One-Shot Hierarchical Federated Clustering
by: Cai, Shenghong, et al.
Published: (2026)
by: Cai, Shenghong, et al.
Published: (2026)
Orthogonal Soft Pruning for Efficient Class Unlearning
by: Gong, Qinghui, et al.
Published: (2025)
by: Gong, Qinghui, et al.
Published: (2025)
Hessian-Free Online Certified Unlearning
by: Qiao, Xinbao, et al.
Published: (2024)
by: Qiao, Xinbao, et al.
Published: (2024)
One-Shot Federated Clustering of Non-Independent Completely Distributed Data
by: Zhang, Yiqun, et al.
Published: (2026)
by: Zhang, Yiqun, et al.
Published: (2026)
FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks
by: Romandini, Nicolò, et al.
Published: (2025)
by: Romandini, Nicolò, et al.
Published: (2025)
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation
by: Dhasade, Akash, et al.
Published: (2023)
by: Dhasade, Akash, et al.
Published: (2023)
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
by: Zhou, Shiji, et al.
Published: (2025)
by: Zhou, Shiji, et al.
Published: (2025)
Graph Federated Unlearning for Privacy Preservation
by: Ma, Ruotong, et al.
Published: (2026)
by: Ma, Ruotong, et al.
Published: (2026)
Discriminative Adversarial Unlearning
by: Sharma, Rohan, et al.
Published: (2024)
by: Sharma, Rohan, et al.
Published: (2024)
Graph Unlearning with Efficient Partial Retraining
by: Zhang, Jiahao, et al.
Published: (2024)
by: Zhang, Jiahao, et al.
Published: (2024)
Graph Unlearning: Efficient Node Removal in Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2025)
by: Guan, Faqian, et al.
Published: (2025)
Hierarchical Federated Unlearning for Large Language Models
by: Zhong, Yisheng, et al.
Published: (2025)
by: Zhong, Yisheng, et al.
Published: (2025)
Efficient Federated RLHF via Zeroth-Order Policy Optimization
by: Wang, Deyi, et al.
Published: (2026)
by: Wang, Deyi, et al.
Published: (2026)
Similar Items
-
Model Inversion Attack against Federated Unlearning
by: Zhou, Lei, et al.
Published: (2025) -
Vertical Federated Unlearning via Backdoor Certification
by: Han, Mengde, et al.
Published: (2024) -
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
by: Gu, Hanlin, et al.
Published: (2024) -
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
by: Zhong, Zhengyi, et al.
Published: (2025) -
Goldfish: An Efficient Federated Unlearning Framework
by: Wang, Houzhe, et al.
Published: (2024)