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:
Multimodal Federated Learning on IoT Data
Yuchen Zhao, Payam Barnaghi, Hamed Haddadi
(2022), pp. 43-54
Open Access | Times Cited: 46
Yuchen Zhao, Payam Barnaghi, Hamed Haddadi
(2022), pp. 43-54
Open Access | Times Cited: 46
Showing 26-50 of 46 citing articles:
Deep Multi-modal Representation Schemes for Federated 3D Human Action Recognition
Athanasios Psaltis, Charalampos Z. Patrikakis, Petros Daras
Lecture notes in computer science (2023), pp. 334-352
Closed Access | Times Cited: 2
Athanasios Psaltis, Charalampos Z. Patrikakis, Petros Daras
Lecture notes in computer science (2023), pp. 334-352
Closed Access | Times Cited: 2
FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data
Min Tan, Yinfu Feng, Lingqiang Chu, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 5807-5822
Closed Access | Times Cited: 2
Min Tan, Yinfu Feng, Lingqiang Chu, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 5807-5822
Closed Access | Times Cited: 2
Federated Learning for Air Quality Index Prediction: An Overview
Duy-Dong Le, Tran Anh Khoa, Minh-Son Dao, et al.
(2022), pp. 1-8
Closed Access | Times Cited: 3
Duy-Dong Le, Tran Anh Khoa, Minh-Son Dao, et al.
(2022), pp. 1-8
Closed Access | Times Cited: 3
Importance Sampling Based Federated Unsupervised Representation Learning
Nazreen Shah, Prachi Goyal, Ranjitha Prasad
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7565-7569
Closed Access
Nazreen Shah, Prachi Goyal, Ranjitha Prasad
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7565-7569
Closed Access
Transforming IoT with Federated Multimodal Learning: A Privacy-Centric Approach
Ankita Suryavanshi, Shiva Mehta, Mukesh Kumar, et al.
(2024), pp. 1-5
Closed Access
Ankita Suryavanshi, Shiva Mehta, Mukesh Kumar, et al.
(2024), pp. 1-5
Closed Access
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
Liwei Che, Jiaqi Wang, Xinyue Liu, et al.
Lecture notes in computer science (2024), pp. 401-417
Closed Access
Liwei Che, Jiaqi Wang, Xinyue Liu, et al.
Lecture notes in computer science (2024), pp. 401-417
Closed Access
A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning
Thu Hang Phung, Binh P. Nguyen, Thanh Hung Nguyen, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 1, pp. 1-8
Closed Access
Thu Hang Phung, Binh P. Nguyen, Thanh Hung Nguyen, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 1, pp. 1-8
Closed Access
Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
Yunfeng Fan, Wenchao Xu, Haozhao Wang, et al.
Lecture notes in computer science (2024), pp. 178-195
Closed Access
Yunfeng Fan, Wenchao Xu, Haozhao Wang, et al.
Lecture notes in computer science (2024), pp. 178-195
Closed Access
Towards Multi-modal Transformers in Federated Learning
G. X. Sun, Matías Mendieta, Aritra Dutta, et al.
Lecture notes in computer science (2024), pp. 229-246
Closed Access
G. X. Sun, Matías Mendieta, Aritra Dutta, et al.
Lecture notes in computer science (2024), pp. 229-246
Closed Access
Multimodal Federated Learning in AIoT Systems: Existing Solutions, Applications, and Challenges
Christos Anagnostopoulos, Αλέξανδρος Γκίλλας, Christos Mavrokefalidis, et al.
IEEE Access (2024) Vol. 12, pp. 180864-180902
Open Access
Christos Anagnostopoulos, Αλέξανδρος Γκίλλας, Christos Mavrokefalidis, et al.
IEEE Access (2024) Vol. 12, pp. 180864-180902
Open Access
Communication-Efficient Multi-Modal Federated Learning via Dynamic Client-Modality Matching
Li Tan, Yuhang Gong, Hai Liu, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7899-7908
Closed Access
Li Tan, Yuhang Gong, Hai Liu, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7899-7908
Closed Access
A Survey of Advances in Multimodal Federated Learning with Applications
Gregory Barry, Elif Konyar, Brandon Harvill, et al.
Springer optimization and its applications (2024), pp. 315-344
Closed Access
Gregory Barry, Elif Konyar, Brandon Harvill, et al.
Springer optimization and its applications (2024), pp. 315-344
Closed Access
Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration
Bingjie Yan, Qian Chen, Yiqiang Chen, et al.
(2024), pp. 2775-2785
Closed Access
Bingjie Yan, Qian Chen, Yiqiang Chen, et al.
(2024), pp. 2775-2785
Closed Access
Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning
Jinjia Feng, Zhen Wang, Zhewei Wei, et al.
(2024), pp. 1038-1048
Closed Access
Jinjia Feng, Zhen Wang, Zhewei Wei, et al.
(2024), pp. 1038-1048
Closed Access
MAFS: Modality-Aware Federated Semi-Supervised Learning with Selective Data Sharing Specified by Individual Clients
Y. Li, Chih-Fan Hsu, J Wang, et al.
(2024), pp. 1-8
Closed Access
Y. Li, Chih-Fan Hsu, J Wang, et al.
(2024), pp. 1-8
Closed Access
MiFL: Multi-Input Neural Networks in Federated Learning
Bruno Casella, Walter Riviera, Marco Aldinucci, et al.
(2023)
Open Access | Times Cited: 1
Bruno Casella, Walter Riviera, Marco Aldinucci, et al.
(2023)
Open Access | Times Cited: 1
FL-SERENADE: Federated Learning for SEmi-supeRvisEd Network Anomaly DEtection. A Case Study
Veronika Bekbulatova, Andrea Morichetta, Schahram Dustdar
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (2023), pp. 1072-1079
Closed Access | Times Cited: 1
Veronika Bekbulatova, Andrea Morichetta, Schahram Dustdar
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (2023), pp. 1072-1079
Closed Access | Times Cited: 1
Federated unsupervised cross-modal Hashing
Lei Zhu, Jingzhi Li, Tianshi Wang, et al.
Scientia Sinica Informationis (2023) Vol. 53, Iss. 11, pp. 2180-2180
Closed Access
Lei Zhu, Jingzhi Li, Tianshi Wang, et al.
Scientia Sinica Informationis (2023) Vol. 53, Iss. 11, pp. 2180-2180
Closed Access
MiFL: Multi-Input Neural Networks in Federated Learning
Bruno Casella, Walter Riviera, Marco Aldinucci, et al.
(2023)
Open Access
Bruno Casella, Walter Riviera, Marco Aldinucci, et al.
(2023)
Open Access
Mutli-Modality Federate Learning with Multi-Source Data for Forest Fire Prediction
Abdul Mutakabbir
(2023)
Open Access
Abdul Mutakabbir
(2023)
Open Access
Federated Representation Learning for Indoor-Outdoor Detection in Beyond 5G Networks
Sid Ali Hamideche, Marie Line Alberi Morel, Kamal Singh, et al.
2022 IEEE Globecom Workshops (GC Wkshps) (2023), pp. 860-865
Open Access
Sid Ali Hamideche, Marie Line Alberi Morel, Kamal Singh, et al.
2022 IEEE Globecom Workshops (GC Wkshps) (2023), pp. 860-865
Open Access
