Saved in:
| Main Authors: | Gu, Hanlin, Ong, Win Kent, Chan, Chee Seng, Fan, Lixin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.17462 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
by: Gu, Hanlin, et al.
Published: (2024)
by: Gu, Hanlin, 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)
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
by: Wong, Hui Yeok, et al.
Published: (2025)
by: Wong, Hui Yeok, et al.
Published: (2025)
Disentangling data distribution for Federated Learning
by: Zhao, Xinyuan, et al.
Published: (2024)
by: Zhao, Xinyuan, et al.
Published: (2024)
Grounding Foundation Models through Federated Transfer Learning: A General Framework
by: Kang, Yan, et al.
Published: (2023)
by: Kang, Yan, et al.
Published: (2023)
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client
by: Zhu, Gongxi, et al.
Published: (2026)
by: Zhu, Gongxi, et al.
Published: (2026)
Ten Challenging Problems in Federated Foundation Models
by: Fan, Tao, et al.
Published: (2025)
by: Fan, Tao, et al.
Published: (2025)
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning
by: Gu, Hanlin, et al.
Published: (2023)
by: Gu, Hanlin, et al.
Published: (2023)
Large-Small Model Collaborative Framework for Federated Continual Learning
by: Yu, Hao, et al.
Published: (2025)
by: Yu, Hao, et al.
Published: (2025)
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
by: Zhu, Gongxi, et al.
Published: (2024)
by: Zhu, Gongxi, et al.
Published: (2024)
Unlearning Clients, Features and Samples in Vertical Federated Learning
by: Varshney, Ayush K., et al.
Published: (2025)
by: Varshney, Ayush K., et al.
Published: (2025)
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
by: Shao, Shuo, et al.
Published: (2022)
by: Shao, Shuo, et al.
Published: (2022)
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method
by: Jiang, Yu, et al.
Published: (2024)
by: Jiang, Yu, et al.
Published: (2024)
IPR-NeRF: Ownership Verification meets Neural Radiance Field
by: Ong, Win Kent, et al.
Published: (2024)
by: Ong, Win Kent, et al.
Published: (2024)
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
by: Pan, Hanlin, et al.
Published: (2025)
by: Pan, Hanlin, et al.
Published: (2025)
Exploiting Features and Logits in Heterogeneous Federated Learning
by: Chan, Yun-Hin, et al.
Published: (2022)
by: Chan, Yun-Hin, et al.
Published: (2022)
ShuffleGate: Scalable Feature Optimization for Recommender Systems via Batch-wise Sensitivity Learning
by: Huang, Yihong, et al.
Published: (2025)
by: Huang, Yihong, et al.
Published: (2025)
Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning
by: Jiang, Yu, et al.
Published: (2025)
by: Jiang, Yu, 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)
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)
Federated Graph Unlearning
by: Ai, Yuming, et al.
Published: (2025)
by: Ai, Yuming, et al.
Published: (2025)
On Convex Optimization with Semi-Sensitive Features
by: Ghazi, Badih, et al.
Published: (2024)
by: Ghazi, Badih, et al.
Published: (2024)
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
Dual-Agent Reinforcement Learning for Automated Feature Generation
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
by: Liang, Jinglin, et al.
Published: (2024)
by: Liang, Jinglin, et al.
Published: (2024)
Feature-Selective Representation Misdirection for Machine Unlearning
by: Chen, Taozhao, et al.
Published: (2025)
by: Chen, Taozhao, et al.
Published: (2025)
Machine Unlearning in Low-Dimensional Feature Subspace
by: Fang, Kun, et al.
Published: (2026)
by: Fang, Kun, et al.
Published: (2026)
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning
by: Kang, Yan, et al.
Published: (2024)
by: Kang, Yan, et al.
Published: (2024)
Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection
by: Zhou, Jingjing, et al.
Published: (2026)
by: Zhou, Jingjing, et al.
Published: (2026)
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
by: Wu, Xinghao, et al.
Published: (2024)
by: Wu, Xinghao, et al.
Published: (2024)
Capture Global Feature Statistics for One-Shot Federated Learning
by: Guan, Zenghao, et al.
Published: (2025)
by: Guan, Zenghao, et al.
Published: (2025)
MeGU: Machine-Guided Unlearning with Target Feature Disentanglement
by: Wang, Haoyu, et al.
Published: (2026)
by: Wang, Haoyu, et al.
Published: (2026)
Feature Unlearning for Pre-trained GANs and VAEs
by: Moon, Saemi, et al.
Published: (2023)
by: Moon, Saemi, et al.
Published: (2023)
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
ErrorEraser: Unlearning Data Bias for Improved Continual Learning
by: Cao, Xuemei, et al.
Published: (2025)
by: Cao, Xuemei, et al.
Published: (2025)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)
by: Yamchote, Phaphontee, et al.
Published: (2025)
Vertical Federated Unlearning via Backdoor Certification
by: Han, Mengde, et al.
Published: (2024)
by: Han, Mengde, et al.
Published: (2024)
Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression Filtering Method for SEM Images
by: Ong, D. Chee Yong, et al.
Published: (2025)
by: Ong, D. Chee Yong, et al.
Published: (2025)
Binary Feature Mask Optimization for Feature Selection
by: Lorasdagi, Mehmet E., et al.
Published: (2024)
by: Lorasdagi, Mehmet E., et al.
Published: (2024)
Similar Items
-
Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
by: Gu, Hanlin, et al.
Published: (2024) -
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
by: Gu, Hanlin, et al.
Published: (2024) -
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
by: Wong, Hui Yeok, et al.
Published: (2025) -
Disentangling data distribution for Federated Learning
by: Zhao, Xinyuan, et al.
Published: (2024) -
Grounding Foundation Models through Federated Transfer Learning: A General Framework
by: Kang, Yan, et al.
Published: (2023)