Cover Image

Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mu, Siqiao, Klabjan, Diego
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Descend or Rewind? Stochastic Gradient Descent Unlearning
by: Mu, Siqiao, et al.
Published: (2025)

On the Second-Order Convergence of Biased Policy Gradient Algorithms
by: Mu, Siqiao, et al.
Published: (2023)

On the Convergence Rate of LoRA Gradient Descent
by: Mu, Siqiao, et al.
Published: (2025)

Certified Minimax Unlearning with Generalization Rates and Deletion Capacity
by: Liu, Jiaqi, et al.
Published: (2023)

Beyond Uniform Deletion: A Data Value-Weighted Framework for Certified Machine Unlearning
by: He, Lisong, et al.
Published: (2025)

Attribute-to-Delete: Machine Unlearning via Datamodel Matching
by: Georgiev, Kristian, et al.
Published: (2024)

FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning
by: Palazzo, Luca, et al.
Published: (2024)

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs
by: Xu, Xiaoyu, et al.
Published: (2025)

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

MultiDelete for Multimodal Machine Unlearning
by: Cheng, Jiali, et al.
Published: (2023)

Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
by: Joo, Taejong, et al.
Published: (2024)

A Trainable Optimizer
by: Wang, Ruiqi, et al.
Published: (2025)

IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation
by: Joo, Taejong, et al.
Published: (2023)

Rank-Accuracy Trade-off for LoRA: A Gradient-Flow Analysis
by: Rushka, Michael, et al.
Published: (2026)

Fully Decentralized Certified Unlearning
by: Lamri, Hithem, et al.
Published: (2025)

Certified Machine Unlearning via Noisy Stochastic Gradient Descent
by: Chien, Eli, et al.
Published: (2024)

Masks, Signs, And Learning Rate Rewinding
by: Gadhikar, Advait, et al.
Published: (2024)

Delete and Retain: Efficient Unlearning for Document Classification
by: Goel, Aadya, et al.
Published: (2025)

Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
by: Park, Haemin, et al.
Published: (2024)

LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples
by: Wu, Huiyu, et al.
Published: (2024)

A Mirror Descent Perspective of Smoothed Sign Descent
by: Wang, Shuyang, et al.
Published: (2024)

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
by: Xu, Mengfan, et al.
Published: (2024)

Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
by: Joo, Taejong, et al.
Published: (2025)

Divergence Results and Convergence of a Variance Reduced Version of ADAM
by: Wang, Ruiqi, et al.
Published: (2022)

Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms
by: Xu, Mengfan, et al.
Published: (2020)

Certified Unlearning in Decentralized Federated Learning
by: Wu, Hengliang, et al.
Published: (2026)

Certified Signed Graph Unlearning
by: Zhao, Junpeng, et al.
Published: (2025)

Certified Unlearning for Neural Networks
by: Koloskova, Anastasia, et al.
Published: (2025)

A Robust Certified Machine Unlearning Method Under Distribution Shift
by: Guo, Jinduo, et al.
Published: (2026)

Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
by: Sinha, Yash, et al.
Published: (2023)

Federated Automated Feature Engineering
by: Overman, Tom, et al.
Published: (2024)

Towards Certified Unlearning for Deep Neural Networks
by: Zhang, Binchi, et al.
Published: (2024)

IIFE: Interaction Information Based Automated Feature Engineering
by: Overman, Tom, et al.
Published: (2024)

Non-Convex Optimization with Spectral Radius Regularization
by: Sandler, Adam, et al.
Published: (2021)

A Primal-Dual Algorithm for Hybrid Federated Learning
by: Overman, Tom, et al.
Published: (2022)

Hessian-Free Online Certified Unlearning
by: Qiao, Xinbao, et al.
Published: (2024)

Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning
by: Gogineni, Vinay Chakravarthi, et al.
Published: (2024)

FedGA-Tree: Federated Decision Tree using Genetic Algorithm
by: Nguyen, Anh V, et al.
Published: (2025)

Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
by: Sandler, Adam, et al.
Published: (2019)

Continuous-Time Analysis of Federated Averaging
by: Overman, Tom, et al.
Published: (2025)