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:
Byzantine Machine Learning: A Primer
Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-39
Open Access | Times Cited: 9
Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-39
Open Access | Times Cited: 9
Showing 9 citing articles:
Reaching Consensus in the Byzantine Empire: A Comprehensive Review of BFT Consensus Algorithms
Gengrui Zhang, Fei Pan, Yunhao Mao, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-41
Open Access | Times Cited: 40
Gengrui Zhang, Fei Pan, Yunhao Mao, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-41
Open Access | Times Cited: 40
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications
Yacine Belal, Sonia Ben Mokhtar, Hamed Haddadi, et al.
ACM Transactions on Spatial Algorithms and Systems (2024) Vol. 10, Iss. 3, pp. 1-39
Open Access | Times Cited: 2
Yacine Belal, Sonia Ben Mokhtar, Hamed Haddadi, et al.
ACM Transactions on Spatial Algorithms and Systems (2024) Vol. 10, Iss. 3, pp. 1-39
Open Access | Times Cited: 2
Robust and Private Federated Learning on LLMs
Rachid Guerraoui, Nirupam Gupta
(2024), pp. 189-196
Closed Access
Rachid Guerraoui, Nirupam Gupta
(2024), pp. 189-196
Closed Access
Fundamentals of Robust Machine Learning
Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot
Machine learning (2024), pp. 55-92
Closed Access
Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot
Machine learning (2024), pp. 55-92
Closed Access
Improved Intrusion Detection System using Machine Learning Techniques
Deepak Singh, R. Uma Mageswari, Shanmugasundaram Hariharan
(2024), pp. 828-832
Closed Access
Deepak Singh, R. Uma Mageswari, Shanmugasundaram Hariharan
(2024), pp. 828-832
Closed Access
TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework
René Klaus Nikiel, Meghdad Mirabi, Carsten Binnig
(2024), pp. 55-62
Closed Access
René Klaus Nikiel, Meghdad Mirabi, Carsten Binnig
(2024), pp. 55-62
Closed Access
SeCTIS: A framework to Secure CTI Sharing
Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, et al.
Future Generation Computer Systems (2024), pp. 107562-107562
Open Access
Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, et al.
Future Generation Computer Systems (2024), pp. 107562-107562
Open Access
Ti-skol: A Modular Federated Learning Framework Supporting Security Countermeasure Composition
Divi De Lacour, Marc Lacoste, Mario Südholt, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7860-7869
Open Access
Divi De Lacour, Marc Lacoste, Mario Südholt, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7860-7869
Open Access
A Two-Stage Prediction Framework for Oil and Gas Well Production Based on Classification and Regression Models
Dongdong Hou, Wente Niu, Guoqing Han, et al.
Energy & Fuels (2024) Vol. 38, Iss. 22, pp. 22219-22229
Closed Access
Dongdong Hou, Wente Niu, Guoqing Han, et al.
Energy & Fuels (2024) Vol. 38, Iss. 22, pp. 22219-22229
Closed Access
