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Federated learning (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Federated learning" in English language version.

refsWebsite
Global rank English rank
26arxiv.org
69th place
59th place
20doi.org
2nd place
2nd place
10semanticscholar.org
11th place
8th place
8nih.gov
4th place
4th place
5harvard.edu
18th place
17th place
3worldcat.org
5th place
5th place
1nowpublishers.com
low place
low place
1ieee.org
652nd place
515th place
1mlr.press
low place
low place
1apache.org
3,206th place
2,477th place
1academia.edu
121st place
142nd place
1handle.net
102nd place
76th place
1nature.com
234th place
397th place
1neurips.cc
low place
low place
1mlcommons.org
low place
low place

academia.edu (Global: 121st place; English: 142nd place)

apache.org (Global: 3,206th place; English: 2,477th place)

wayang.apache.org

arxiv.org (Global: 69th place; English: 59th place)

  • Kairouz, Peter; McMahan, H. Brendan; Avent, Brendan; Bellet, Aurélien; Bennis, Mehdi; Bhagoji, Arjun Nitin; Bonawitz, Kallista; Charles, Zachary; Cormode, Graham; Cummings, Rachel; D’Oliveira, Rafael G. L.; Eichner, Hubert; Rouayheb, Salim El; Evans, David; Gardner, Josh (2021-06-22). "Advances and Open Problems in Federated Learning". Foundations and Trends in Machine Learning. 14 (1–2): 1–210. arXiv:1912.04977. doi:10.1561/2200000083. ISSN 1935-8237.
  • Konečný, Jakub; McMahan, Brendan; Ramage, Daniel (2015). "Federated Optimization: Distributed Optimization Beyond the Datacenter". arXiv:1511.03575 [cs.LG].
  • Kairouz, Peter; Brendan McMahan, H.; Avent, Brendan; Bellet, Aurélien; Bennis, Mehdi; Arjun Nitin Bhagoji; Bonawitz, Keith; Charles, Zachary; Cormode, Graham; Cummings, Rachel; D'Oliveira, Rafael G. L.; Salim El Rouayheb; Evans, David; Gardner, Josh; Garrett, Zachary; Gascón, Adrià; Ghazi, Badih; Gibbons, Phillip B.; Gruteser, Marco; Harchaoui, Zaid; He, Chaoyang; He, Lie; Huo, Zhouyuan; Hutchinson, Ben; Hsu, Justin; Jaggi, Martin; Javidi, Tara; Joshi, Gauri; Khodak, Mikhail; et al. (10 December 2019). "Advances and Open Problems in Federated Learning". arXiv:1912.04977 [cs.LG].
  • Xu, Zirui; Yu, Fuxun; Xiong, Jinjun; Chen, Xiang (December 2021). "Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration". 2021 58th ACM/IEEE Design Automation Conference (DAC). pp. 997–1002. arXiv:1912.01684. doi:10.1109/DAC18074.2021.9586241. ISBN 978-1-6654-3274-0. S2CID 243925551.
  • Diao, Enmao; Ding, Jie; Tarokh, Vahid (2020-10-02). "HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients". arXiv:2010.01264 [cs.LG].
  • Yu, Fuxun; Zhang, Weishan; Qin, Zhuwei; Xu, Zirui; Wang, Di; Liu, Chenchen; Tian, Zhi; Chen, Xiang (2021-08-14). "Fed2". Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. KDD '21. New York, NY, USA: Association for Computing Machinery. pp. 2066–2074. arXiv:2111.14248. doi:10.1145/3447548.3467309. ISBN 978-1-4503-8332-5. S2CID 240598436.
  • Savazzi, Stefano; Nicoli, Monica; Rampa, Vittorio (May 2020). "Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks". IEEE Internet of Things Journal. 7 (5): 4641–4654. arXiv:1912.13163. Bibcode:2020IITJ....7.4641S. doi:10.1109/JIOT.2020.2964162. S2CID 209515403.
  • Gupta, Otkrist; Raskar, Ramesh (14 October 2018). "Distributed learning of deep neural network over multiple agents". arXiv:1810.06060 [cs.LG].
  • Vepakomma, Praneeth; Gupta, Otkrist; Swedish, Tristan; Raskar, Ramesh (3 December 2018). "Split learning for health: Distributed deep learning without sharing raw patient data". arXiv:1812.00564 [cs.LG].
  • Hsieh, Kevin; Phanishayee, Amar; Mutlu, Onur; Gibbons, Phillip (2020-11-21). "The Non-IID Data Quagmire of Decentralized Machine Learning". International Conference on Machine Learning. PMLR: 4387–4398. arXiv:1910.00189.
  • Bagdasaryan, Eugene; Veit, Andreas; Hua, Yiqing (2019-08-06). "How To Backdoor Federated Learning". arXiv:1807.00459 [cs.CR].
  • Reddi, Sashank; Charles, Zachary; Zaheer, Manzil; Garrett, Zachary; Rush, Keith; Konečný, Jakub; Kumar, Sanjiv; McMahan, H. Brendan (2021-09-08). "Adaptive Federated Optimization". arXiv:2003.00295 [cs.LG].
  • Acar, Durmus Alp Emre; Zhao, Yue; Navarro, Ramon Matas; Mattina, Matthew; Whatmough, Paul N.; Saligrama, Venkatesh (2021). "Federated Learning Based on Dynamic Regularization". ICLR. arXiv:2111.04263.
  • Vahidian, Saeed; Morafah, Mahdi; Lin, Bill (2021). "Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity". Icdcs-W. arXiv:2105.00562.
  • Yeganeh, Yousef; Farshad, Azade; Navab, Nassir; Albarqouni, Shadi (2020). "Inverse Distance Aggregation for Federated Learning with Non-IID Data". Icdcs-W. arXiv:2008.07665.
  • Overman, Tom; Blum, Garrett; Klabjan, Diego (2024). "A Primal-Dual Algorithm for Hybrid Federated Learning". Proceedings of the AAAI Conference on Artificial Intelligence. 38 (13): 14482–14489. arXiv:2210.08106. doi:10.1609/aaai.v38i13.29363.
  • Cotorobai, Alexandre; Silva, Jorge Miguel; Oliveira, José Luis (2025-06-18). "A Federated Random Forest Solution for Secure Distributed Machine Learning". 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). IEEE. pp. 769–774. arXiv:2505.08085. doi:10.1109/CBMS65348.2025.00159. ISBN 979-8-3315-2610-8.
  • Konečný, Jakub; McMahan, H. Brendan; Yu, Felix X.; Richtárik, Peter; Suresh, Ananda Theertha; Bacon, Dave (30 October 2017). "Federated Learning: Strategies for Improving Communication Efficiency". arXiv:1610.05492 [cs.LG].
  • Amiri, Mohammad Mohammadi; Gunduz, Deniz (10 February 2020). "Federated Learning over Wireless Fading Channels". IEEE Transactions on Wireless Communications. 19 (5): 3546. arXiv:1907.09769. Bibcode:2020ITWC...19.3546A. doi:10.1109/TWC.2020.2974748.
  • Xian, Xun; Wang, Xinran; Ding, Jie; Ghanadan, Reza (2020). "Assisted Learning: A Framework for Multi-Organization Learning". Advances in Neural Information Processing Systems. 33. arXiv:2004.00566.
  • Elbir, Ahmet M.; Coleri, S. (2 June 2020). "Federated Learning for Vehicular Networks". arXiv:2006.01412 [eess.SP].
  • Rieke, Nicola; Hancox, Jonny; Li, Wenqi; Milletarì, Fausto; Roth, Holger R.; Albarqouni, Shadi; Bakas, Spyridon; Galtier, Mathieu N.; Landman, Bennett A.; Maier-Hein, Klaus; Ourselin, Sébastien; Sheller, Micah; Summers, Ronald M.; Trask, Andrew; Xu, Daguang; Baust, Maximilian; Cardoso, M. Jorge (14 September 2020). "The future of digital health with federated learning". npj Digital Medicine. 3 (1): 119. arXiv:2003.08119. doi:10.1038/s41746-020-00323-1. PMC 7490367. PMID 33015372. S2CID 212747909.
  • Karargyris, Alexandros; Umeton, Renato; Sheller, Micah J.; et al. (17 July 2023). "Federated benchmarking of medical artificial intelligence with MedPerf". Nature Machine Intelligence. 5 (7). Springer Science and Business Media LLC: 799–810. arXiv:2110.01406. doi:10.1038/s42256-023-00652-2. ISSN 2522-5839. PMC 11068064. PMID 38706981.
  • Liu, Boyi; Wang, Lujia; Liu, Ming (2019). "Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems". 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 1688–1695. arXiv:1901.06455. doi:10.1109/IROS40897.2019.8967908. ISBN 978-1-7281-4004-9. S2CID 210972473.
  • Na, Seongin; Rouček, Tomáš; Ulrich, Jiří; Pikman, Jan; Krajník, Tomáš; Lennox, Barry; Arvin, Farshad (2023). "Federated Reinforcement Learning for Collective Navigation of Robotic Swarms". IEEE Transactions on Cognitive and Developmental Systems. 15 (4): 1. arXiv:2202.01141. Bibcode:2023ITCDS..15.2122N. doi:10.1109/TCDS.2023.3239815. S2CID 246473085.
  • Yu, Xianjia; Queralta, Jorge Pena; Westerlund, Tomi (2022). "Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer". Procedia Computer Science. 210: 86–93. arXiv:2205.15496. doi:10.1016/j.procs.2022.10.123.

doi.org (Global: 2nd place; English: 2nd place)

handle.net (Global: 102nd place; English: 76th place)

hdl.handle.net

  • Du, Zhiyong; Deng, Yansha; Guo, Weisi; Nallanathan, Arumugam; Wu, Qihui (2021). "Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression, and Challenges". IEEE Vehicular Technology Magazine. 16: 29–39. doi:10.1109/MVT.2020.3015184. hdl:1826/16378. S2CID 204401715.

harvard.edu (Global: 18th place; English: 17th place)

ui.adsabs.harvard.edu

ieee.org (Global: 652nd place; English: 515th place)

ieeexplore.ieee.org

mlcommons.org (Global: low place; English: low place)

mlr.press (Global: low place; English: low place)

proceedings.mlr.press

nature.com (Global: 234th place; English: 397th place)

neurips.cc (Global: low place; English: low place)

proceedings.neurips.cc

nih.gov (Global: 4th place; English: 4th place)

ncbi.nlm.nih.gov

pubmed.ncbi.nlm.nih.gov

nowpublishers.com (Global: low place; English: low place)

  • Kairouz, Peter; McMahan, H. Brendan; Avent, Brendan; Bellet, Aurélien; Bennis, Mehdi; Bhagoji, Arjun Nitin; Bonawitz, Kallista; Charles, Zachary; Cormode, Graham; Cummings, Rachel; D’Oliveira, Rafael G. L.; Eichner, Hubert; Rouayheb, Salim El; Evans, David; Gardner, Josh (2021-06-22). "Advances and Open Problems in Federated Learning". Foundations and Trends in Machine Learning. 14 (1–2): 1–210. arXiv:1912.04977. doi:10.1561/2200000083. ISSN 1935-8237.

semanticscholar.org (Global: 11th place; English: 8th place)

api.semanticscholar.org

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

  • Kairouz, Peter; McMahan, H. Brendan; Avent, Brendan; Bellet, Aurélien; Bennis, Mehdi; Bhagoji, Arjun Nitin; Bonawitz, Kallista; Charles, Zachary; Cormode, Graham; Cummings, Rachel; D’Oliveira, Rafael G. L.; Eichner, Hubert; Rouayheb, Salim El; Evans, David; Gardner, Josh (2021-06-22). "Advances and Open Problems in Federated Learning". Foundations and Trends in Machine Learning. 14 (1–2): 1–210. arXiv:1912.04977. doi:10.1561/2200000083. ISSN 1935-8237.
  • Vahid, Diao; Ding, Enmao; Tarokh, Jie (2021-06-02). SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients. OCLC 1269554828.
  • Karargyris, Alexandros; Umeton, Renato; Sheller, Micah J.; et al. (17 July 2023). "Federated benchmarking of medical artificial intelligence with MedPerf". Nature Machine Intelligence. 5 (7). Springer Science and Business Media LLC: 799–810. arXiv:2110.01406. doi:10.1038/s42256-023-00652-2. ISSN 2522-5839. PMC 11068064. PMID 38706981.