Multi-objective Evolutionary Federated Learning

18 December 2018

Papers citing "Multi-objective Evolutionary Federated Learning"

22 / 22 papers shown

Title
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning Anastasiya Danilenka Alireza Furutanpey Víctor Casamayor Pujol Boris Sedlak Anna Lackinger M. Ganzha M. Paprzycki Schahram Dustdar 43 0 0 09 Oct 2024
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning Ziyao Ren Yan Kang Lixin Fan Linghua Yang Yongxin Tong Qiang Yang FedML 50 3 0 20 Jul 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 37 8 0 17 Mar 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Xu Liu F. Liu Shuyuan Yang 42 5 0 06 Feb 2023
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 18 5 0 22 Dec 2022
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends Ying Bi Bing Xue Pablo Mesejo S. Cagnoni Mengjie Zhang 97 43 0 14 Sep 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 32 7 0 12 Jul 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 42 41 0 03 Jun 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 37 213 0 20 Jan 2022
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 35 8 0 11 Oct 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 146 0 26 Aug 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zhangyang Wang Decebal Constantin Mocanu OOD 31 49 0 28 Jun 2021
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions Shaashwat Agrawal Sagnik Sarkar Ons Aouedi Gokul Yenduri Kandaraj Piamrat S. Bhattacharya Praveen Kumar Reddy Maddikunta Thippa Reddy Gadekallu 25 233 0 16 Jun 2021
Auction Based Clustered Federated Learning in Mobile Edge Computing System Renhao Lu Weizhe Zhang Qiong Li Xiaoxiong Zhong A. Vasilakos FedML 32 10 0 12 Mar 2021
Sparse Training Theory for Scalable and Efficient Agents Decebal Constantin Mocanu Elena Mocanu T. Pinto Selima Curci Phuong H. Nguyen M. Gibescu D. Ernst Z. Vale 45 17 0 02 Mar 2021
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders Zahra Atashgahi Ghada Sokar T. Lee Elena Mocanu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 19 37 0 01 Dec 2020
Federated Transfer Learning: concept and applications Sudipan Saha Tahir Ahmad FedML 32 85 0 26 Sep 2020
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 23 12 0 22 Aug 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges Aritz D. Martinez Javier Del Ser Esther Villar-Rodriguez E. Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera 35 26 0 09 Aug 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 53 83 0 22 Jul 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 47 174 0 07 Mar 2020
On improving deep learning generalization with adaptive sparse connectivity Shiwei Liu Decebal Constantin Mocanu Mykola Pechenizkiy ODL 20 7 0 27 Jun 2019