AdaFUN: Enhancing Federated Unlearning with Adaptive Local Step in Edge Computing
- 1 January 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Services Computing
- Vol. 19 (5) , 1-16
Abstract
No abstract availableKeywords
Funding Information
- National Science Foundation of China (62502487)
- Fundamental Research Funds for the Central Universities (XJ2025012301)
This publication has 43 references indexed in Scilit:
- A systematic review on federated learning system: a new paradigm to machine learningKnowledge and Information Systems, 2024
- The EU General Data Protection Regulation (GDPR)2024
- ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients2023
- Asynchronous Federated Unlearning2023
- Federated Knowledge Distillation2022
- The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining2022
- Image Classification Algorithm Based on Improved AlexNetJournal of Physics: Conference Series, 2021
- Identity Mappings in Deep Residual Networks2016
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015
- Approximation theory of the MLP model in neural networksActa Numerica, 1999