OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting
Kangyang Luo, Xiang Li, Yunshi Lan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 114, pp. 3708-3717
Open Access | Times Cited: 15
Kangyang Luo, Xiang Li, Yunshi Lan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 114, pp. 3708-3717
Open Access | Times Cited: 15
Showing 15 citing articles:
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang, Enneng Yang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 47, Iss. 3, pp. 1464-1483
Open Access | Times Cited: 14
Zhenyi Wang, Enneng Yang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 47, Iss. 3, pp. 1464-1483
Open Access | Times Cited: 14
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang, Hao Yu, Xin Gao, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 8, pp. 3832-3850
Closed Access | Times Cited: 12
Xin Yang, Hao Yu, Xin Gao, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 8, pp. 3832-3850
Closed Access | Times Cited: 12
Federated Learning in Computer Vision
Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh
IEEE Access (2023) Vol. 11, pp. 94863-94884
Open Access | Times Cited: 14
Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh
IEEE Access (2023) Vol. 11, pp. 94863-94884
Open Access | Times Cited: 14
Federated Impression for Learning with Distributed Heterogeneous Data
Atrin Arya, Sana Ayromlou, Armin Saadat, et al.
Lecture notes in computer science (2025), pp. 215-225
Closed Access
Atrin Arya, Sana Ayromlou, Armin Saadat, et al.
Lecture notes in computer science (2025), pp. 215-225
Closed Access
FedAS: Bridging Inconsistency in Personalized Federated Learning
Xiyuan Yang, Wenke Huang, Mang Ye
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 11986-11995
Closed Access | Times Cited: 2
Xiyuan Yang, Wenke Huang, Mang Ye
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 11986-11995
Closed Access | Times Cited: 2
Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen, Wenke Huang, Mang Ye
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 12077-12086
Closed Access | Times Cited: 2
Yuhang Chen, Wenke Huang, Mang Ye
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 12077-12086
Closed Access | Times Cited: 2
General Federated Class-Incremental Learning With Lightweight Generative Replay
Yuanlu Chen, Alysa Ziying Tan, Siwei Feng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 20, pp. 33927-33939
Closed Access | Times Cited: 1
Yuanlu Chen, Alysa Ziying Tan, Siwei Feng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 20, pp. 33927-33939
Closed Access | Times Cited: 1
FedAdaSS: Federated Learning with Adaptive Parameter Server Selection Based on Elastic Cloud Resources
Yuwei Xu, Baokang Zhao, Huan Zhou, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 141, Iss. 1, pp. 609-629
Open Access | Times Cited: 1
Yuwei Xu, Baokang Zhao, Huan Zhou, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 141, Iss. 1, pp. 609-629
Open Access | Times Cited: 1
Image Pseudo Label Consistency Exploitation for Semi-supervised Pathological Tissue Segmentation
Chien-Yu Chiou, Weili Chen, Chun-Rong Huang, et al.
Communications in computer and information science (2024), pp. 217-226
Closed Access
Chien-Yu Chiou, Weili Chen, Chun-Rong Huang, et al.
Communications in computer and information science (2024), pp. 217-226
Closed Access
Node Reservation Based Incremental Learning Network for Object Detection
M. Tahasanul Ibrahim, Nikhil Limaye, Andreas Schwung
2022 IEEE International Conference on Industrial Technology (ICIT) (2024) Vol. 1050, pp. 1-6
Closed Access
M. Tahasanul Ibrahim, Nikhil Limaye, Andreas Schwung
2022 IEEE International Conference on Industrial Technology (ICIT) (2024) Vol. 1050, pp. 1-6
Closed Access
Aggregation Strategy with Gradient Projection for Federated Learning in Diagnosis
Huiyan Lin, Yunshu Gao, Heng Li, et al.
Lecture notes in computer science (2024), pp. 207-218
Closed Access
Huiyan Lin, Yunshu Gao, Heng Li, et al.
Lecture notes in computer science (2024), pp. 207-218
Closed Access
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
Gihun Lee, Minchan Jeong, Sangmook Kim, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 12512-12522
Closed Access
Gihun Lee, Minchan Jeong, Sangmook Kim, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 12512-12522
Closed Access
FedSLS: Exploring Federated Aggregation in Saliency Latent Space
Hengyi Wang, Weiying Xie, Jitao Ma, et al.
(2024), pp. 7182-7190
Closed Access
Hengyi Wang, Weiying Xie, Jitao Ma, et al.
(2024), pp. 7182-7190
Closed Access
Research on Energy Consumption Optimization Method of 5G Base Station Based on Federation Learning
Donglan Liu, Xin Liu, Rui Wang, et al.
2021 11th International Conference on Power and Energy Systems (ICPES) (2023), pp. 603-607
Closed Access
Donglan Liu, Xin Liu, Rui Wang, et al.
2021 11th International Conference on Power and Energy Systems (ICPES) (2023), pp. 603-607
Closed Access
Research on Network Slicing Resource Prediction Method Based on Ring Federated Learning
Donglan Liu, Yingxian Chang, Rui Wang, et al.
2021 11th International Conference on Power and Energy Systems (ICPES) (2023) Vol. 59, pp. 593-597
Closed Access
Donglan Liu, Yingxian Chang, Rui Wang, et al.
2021 11th International Conference on Power and Energy Systems (ICPES) (2023) Vol. 59, pp. 593-597
Closed Access
