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FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning

19 September 2023

Haoran Xie

Papers citing "FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning"

20 / 20 papers shown

Title
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion T. Shaik Xiaohui Tao Lin Li Niall Higgins R. Gururajan Xujuan Zhou Jianming Yong FedML 55 3 0 20 Sep 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 80 29 0 10 May 2023
Multimodal Deep Learning Cem Akkus Jiquan Ngiam Vladana Djakovic Steffen Jauch-Walser A. Khosla ... Jann Goschenhofer Honglak Lee A. Ng Daniel Schalk Matthias Aßenmacher 120 3,174 0 12 Jan 2023
FedStack: Personalized activity monitoring using stacked federated learning T. Shaik Xiaohui Tao Niall Higgins R. Gururajan Yuefeng Li Xujuan Zhou Usha R. Acharya FedML 127 66 0 27 Sep 2022
A General Survey on Attention Mechanisms in Deep Learning Gianni Brauwers Flavius Frasincar 57 321 0 27 Mar 2022
Zero-Shot Machine Unlearning Vikram S Chundawat Ayush K Tarun Murari Mandal Mohan S. Kankanhalli MU 86 127 0 14 Jan 2022
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison Sannara Ek François Portet P. Lalanda Germán Vega FedML 81 111 0 19 Oct 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 72 73 0 04 Jul 2021
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 66 129 0 05 Aug 2020
A review: Deep learning for medical image segmentation using multi-modality fusion Tongxue Zhou S. Ruan S. Canu 70 512 0 22 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 393 1,987 0 11 Apr 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 76 503 0 12 Nov 2019
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition Mimansa Jaiswal E. Provost 89 75 0 29 Oct 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 109 1,005 0 23 Jul 2019
Privacy Preserving Machine Learning: Threats and Solutions Mohammad Al-Rubaie Jerome Chang 57 337 0 27 Mar 2018
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 309 4,649 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,155 0 01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,797 0 18 Nov 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,261 0 19 Dec 2013