Copertina

Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Guo, Qi, Tian, Zhen, Yao, Minghao, Qi, Yong, Qi, Saiyu, Li, Yun, Dong, Jin Song
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations
di: Guo, Qi, et al.
Pubblicazione: (2024)

CUFG: Curriculum Unlearning Guided by the Forgetting Gradient
di: Miao, Jiaxing, et al.
Pubblicazione: (2025)

Class-wise Federated Unlearning: Harnessing Active Forgetting with Teacher-Student Memory Generation
di: Li, Yuyuan, et al.
Pubblicazione: (2023)

Class Unlearning via Depth-Aware Removal of Forget-Specific Directions
di: Hatami, Arman, et al.
Pubblicazione: (2026)

Representation Unlearning: Forgetting through Information Compression
di: Almudévar, Antonio, et al.
Pubblicazione: (2026)

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
di: Wang, Tan, et al.
Pubblicazione: (2025)

DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning
di: Li, Deyi, et al.
Pubblicazione: (2026)

Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
di: Zhang, Tian, et al.
Pubblicazione: (2026)

System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
di: Lu, Linda, et al.
Pubblicazione: (2025)

FedGT: Federated Node Classification with Scalable Graph Transformer
di: Zhang, Zaixi, et al.
Pubblicazione: (2024)

Module-Aware Parameter-Efficient Machine Unlearning on Transformers
di: Bao, Wenjie, et al.
Pubblicazione: (2025)

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation
di: Wang, Houzhe, et al.
Pubblicazione: (2026)

Machine Unlearning for Streaming Forgetting
di: Shen, Shaofei, et al.
Pubblicazione: (2025)

Forgetting is Competition: Rethinking Unlearning as Representation Interference in Diffusion Models
di: Ranjan, Ashutosh, et al.
Pubblicazione: (2026)

No Forgetting Learning: Buffer-free Continual Learning Classification
di: Vahedifar, Mohammad Ali, et al.
Pubblicazione: (2025)

TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
di: Wang, Daoyu, et al.
Pubblicazione: (2024)

FUPareto: Bridging the Forgetting-Utility Gap in Federated Unlearning via Pareto Augmented Optimization
di: Wang, Zeyan, et al.
Pubblicazione: (2026)

Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning
di: Dolgova, Polina, et al.
Pubblicazione: (2026)

Machine Unlearning under Retain-Forget Entanglement
di: Cheng, Jingpu, et al.
Pubblicazione: (2026)

\emph{FoQuS}: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition
di: Lu, Yao, et al.
Pubblicazione: (2025)

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification
di: Xue, Lulu, et al.
Pubblicazione: (2025)

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
di: Deng, Kaiyuan, et al.
Pubblicazione: (2026)

An Illusion of Unlearning? Assessing Machine Unlearning Through Internal Representations
di: Gao, Yichen, et al.
Pubblicazione: (2026)

Towards Aligned Data Forgetting via Twin Machine Unlearning
di: Niu, Zhenxing, et al.
Pubblicazione: (2025)

Mitigating Privacy Risk via Forget Set-Free Unlearning
di: Newatia, Aviraj, et al.
Pubblicazione: (2026)

Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
di: Wei, Rongzhe, et al.
Pubblicazione: (2025)

PDAC: Efficient Coreset Selection for Continual Learning via Probability Density Awareness
di: Gao, Junqi, et al.
Pubblicazione: (2025)

Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
di: Ren, Ruifeng, et al.
Pubblicazione: (2023)

Coverage-Aware Web Crawling for Domain-Specific Supplier Discovery via a Web--Knowledge--Web Pipeline
di: Qi, Yijiashun, et al.
Pubblicazione: (2026)

TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents
di: Gong, Chen, et al.
Pubblicazione: (2024)

Unlearning Imperative: Securing Trustworthy and Responsible LLMs through Engineered Forgetting
di: Kang, James Jin, et al.
Pubblicazione: (2025)

Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting
di: Kodge, Sangamesh, et al.
Pubblicazione: (2023)

Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion
di: Laguna, Sonia, et al.
Pubblicazione: (2026)

Graph Propagation Transformer for Graph Representation Learning
di: Chen, Zhe, et al.
Pubblicazione: (2023)

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery
di: Zi, Yun, et al.
Pubblicazione: (2025)

Structure-Aware Variational Learning of a Class of Generalized Diffusions
di: Lu, Yubin, et al.
Pubblicazione: (2026)

Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning
di: Shang, Bingqi, et al.
Pubblicazione: (2025)

Forgetting Transformer: Softmax Attention with a Forget Gate
di: Lin, Zhixuan, et al.
Pubblicazione: (2025)

Prompting Forgetting: Unlearning in GANs via Textual Guidance
di: Nagasubramaniam, Piyush, et al.
Pubblicazione: (2025)

Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model
di: Li, Qi, et al.
Pubblicazione: (2026)