Temporal Weighted Averaging for Asynchronous Federated Intrusion Detection Systems. - Shaashwat Agrawal; Aditi Chowdhuri; Sagnik Sarkar; Ramani Selvanambi; Thippa Reddy Gadekallu (Comput. Intell. Neurosci., 2021)

Genetic CFL: Hyperparameter Optimization in Clustered Federated Learning. - Shaashwat Agrawal; Sagnik Sarkar; Mamoun Alazab; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu; Quoc-Viet Pham (Comput. Intell. Neurosci., 2021)

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions. - Shaashwat Agrawal; Sagnik Sarkar; Ons Aouedi; Gokul Yenduri; Kandaraj Piamrat; Sweta Bhattacharya; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu (CoRR, 2021)

Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning. - Shaashwat Agrawal; Sagnik Sarkar; Mamoun Alazab; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu; Quoc-Viet Pham (CoRR, 2021)

Genetically optimized prediction of remaining useful life. - Shaashwat Agrawal; Sagnik Sarkar; Gautam Srivastava 001; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu (Sustain. Comput. Informatics Syst., 2021)

Privacy-Preserving Federated Learning for Pneumonia Diagnosis. - Sagnik Sarkar; Shaashwat Agrawal; Thippa Reddy Gadekallu; Mufti Mahmud; David J. Brown 001 (ICONIP (7), 2022)

Catalysis of neural activation functions: Adaptive feed-forward training for big data applications. - Sagnik Sarkar; Shaashwat Agrawal; Thar Baker; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu (Appl. Intell., 2022)

Federated Learning for intrusion detection system: Concepts, challenges and future directions. - Shaashwat Agrawal; Sagnik Sarkar; Ons Aouedi; Gokul Yenduri; Kandaraj Piamrat; Mamoun Alazab; Sweta Bhattacharya; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu (Comput. Commun., 2022)

Progressive search personalization and privacy protection using federated learning. - Sagnik Sarkar; Shaashwat Agrawal; Aditi Chowdhuri; Ramani Selvanambi (Expert Syst. J. Knowl. Eng., 2025)