A Multimodal Contrastive Federated Learning for Digital Healthcare. - D. N. Sachin; B. Annappa; Sateesh Ambasange; Alan E. Tony (SN Comput. Sci., 2023)

FedLSF: Federated Local Graph Learning via Specformers. - Ram Samarth B. B.; B. Annappa; D. N. Sachin (DCOSS-IoT, 2024)

Federated Split Learning with HyperNetworks for Medical Image Classification. - S. Sindhura; B. Annappa; D. N. Sachin (ICCCNT, 2024)

FedCure: A Heterogeneity-Aware Personalized Federated Learning Framework for Intelligent Healthcare Applications in IoMT Environments. - D. N. Sachin; Annappa Basava; Saumya Hegde; Chunduru Sri Abhijit; Sateesh Ambesange (IEEE Access, 2024)

ARIMA-PID: container auto scaling based on predictive analysis and control theory. - Nisarg S. Joshi; Raghav Raghuwanshi; Yash M. Agarwal; B. Annappa; D. N. Sachin (Multim. Tools Appl., 2024)

Federated learning for digital healthcare: concepts, applications, frameworks, and challenges. - D. N. Sachin; B. Annappa; Sateesh Ambesange (Computing, 2024)

EdgeFedNet: Edge Server Based Communication and Computation Efficient Federated Learning. - L. Gowtham; B. Annappa; D. N. Sachin (SN Comput. Sci., 2025)

Smart client selection strategies for enhanced federated learning in digital healthcare applications. - D. N. Sachin; Annappa B.; Sateesh Ambesange (Multim. Tools Appl., 2025)