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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
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portfolio
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publications
A Survey on Malware Detection and Analysis Tools
Published in International Journal of Network Security & Its Applications (IJNSA) , 2020
Proposed an auto weighted aggregation techniques for FL
Recommended citation: Talukder, Sajedul, and Zahidur Talukder. "A survey on malware detection and analysis tools." International Journal of Network Security & Its Applications (IJNSA) Vol 12 (2020). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3901568
Towards Server-Level Power Monitoring in Data Centers Using Single-Point Voltage Measurement
Published in ACM SenSys 2022, 2022
Proposed an easy approach to server level monitoring using voltage signal
Recommended citation: Gupta, Pranjol Sen, Talukder, Zahidur, and Mohammad A. Islam. "Efficient Federated Learning with Self-Regulating Clients."
Efficient Federated Learning with Self-Regulating Clients
Published in ACM SIGMETRICS / IFIP PERFORMANCE 2022, 2022
Proposed a self regulating clients to save both local computation and communication
Recommended citation: Talukder, Zahidur, and Mohammad A. Islam. "Efficient Federated Learning with Self-Regulating Clients." https://www.researchgate.net/profile/Zahidur-Talukder-2/publication/361939981_FedSRC_Efficient_Federated_Learning_with_Self-Regulating_Clients/links/62cda209c276426014a9677c/FedSRC-Efficient-Federated-Learning-with-Self-Regulating-Clients.pdf
Computationally Efficient Auto-Weighted Aggregation for Heterogeneous Federated Learning
Published in IEEE International Conference on Edge Computing and Communications (EDGE), 2022
Proposed an auto weighted aggregation techniques for FL
Recommended citation: Z. Talukder and M. A. Islam, "Computationally Efficient Auto-Weighted Aggregation for Heterogeneous Federated Learning," 2022 IEEE International Conference on Edge Computing and Communications (EDGE), 2022, pp. 12-22, doi: 10.1109/EDGE55608.2022.00015. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9860312
Enabling Low-Cost Server-Level Power Monitoring in Data Centers Using Conducted EMI
Published in SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
Proposed an auto weighted aggregation technique for FL
Recommended citation: Gupta, Pranjol Sen and Talukder, Zahidur and Abir, Tasnim Azad and Nguyen, Phuc and Islam, Mohammad A., "Enabling Low-Cost Server-Level Power Monitoring in Data Centers Using Conducted EMI," Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023, pp. 237–250, doi: 10.1145/3625687.3625801. https://dl.acm.org/doi/abs/10.1145/3625687.3625801
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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