| Federated learning for intrusion detection system: Concepts, challenges and future directions S Agrawal, S Sarkar, O Aouedi, G Yenduri, K Piamrat, M Alazab, ... Computer Communications 195, 346-361, 2022 | 190 | 2022 |
| Genetically optimized prediction of remaining useful life S Agrawal, S Sarkar, G Srivastava, PKR Maddikunta, TR Gadekallu Sustainable Computing: Informatics and Systems 31, 100565, 2021 | 48* | 2021 |
| Genetic CFL: Hyperparameter optimization in clustered federated learning S Agrawal, S Sarkar, M Alazab, PKR Maddikunta, TR Gadekallu, ... Computational Intelligence and Neuroscience 2021 (1), 7156420, 2021 | 46 | 2021 |
| Temporal weighted averaging for asynchronous federated intrusion detection systems S Agrawal, A Chowdhuri, S Sarkar, R Selvanambi, TR Gadekallu Computational Intelligence and Neuroscience 2021 (1), 5844728, 2021 | 27 | 2021 |
| Catalysis of neural activation functions: Adaptive feed-forward training for big data applications S Sarkar, S Agrawal, T Baker, PKR Maddikunta, TR Gadekallu Applied Intelligence 52 (12), 13364-13383, 2022 | 18 | 2022 |
| Privacy-preserving federated learning for pneumonia diagnosis S Sarkar, S Agrawal, TR Gadekallu, M Mahmud, DJ Brown International Conference on Neural Information Processing, 345-356, 2022 | 7 | 2022 |
| Progressive search personalization and privacy protection using federated learning S Sarkar, S Agrawal, A Chowdhuri, S Ramani Expert Systems, e13318, 2023 | | 2023 |
Sagnik SarkarMS Artificial Intelligence @ Northwestern University在 u.northwestern.edu 的电子邮件经过验证
