ICC 2026Conference
Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems
Banerjee, S., Bergqvist, D., Toor, S., Rohner, C., and Johnsson, A.
Proc. IEEE International Conference on Communications (ICC).
WACV 2026Conference
Personalized Image Privacy Advisors via Federated Daisy-Chaining
Banerjee, S., Subramaniam, V., Roy, D., Subbaraju, V., and Bhuyan, M.
Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2808–2817.
WACV 2025Conference
Predicting Event Memorability Using Personalized Federated Learning
Banerjee, S., Roy, D., Subbaraju, V., and Bhuyan, M.
Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 1556–1565.
ECML-PKDD 2024Conference
Federated Frank-Wolfe Algorithm
Dadras, A., Banerjee, S., Prakhya, K., and Yurtsever, A.
Proc. Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pp. 58–75. Springer.
ICONIP 2024Conference
Personalized Multi-tier Federated Learning
Banerjee, S., Dadras, A., Yurtsever, A., and Bhuyan, M.
Proc. International Conference on Neural Information Processing (ICONIP), pp. 192–207. Springer. (Early version presented at FL-NeurIPS Workshop, 2022.)
ICDCN 2023Conference
Towards Post-disaster Damage Assessment using Deep Transfer Learning and GAN-based Data Augmentation
Banerjee, S., Patel, Y. S., Kumar, P., and Bhuyan, M.
Proc. 24th International Conference on Distributed Computing and Networking (ICDCN), pp. 372–377. ACM.
IJCNN 2022Conference
Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection
Banerjee, S., Vu, X.-S., and Bhuyan, M.
Proc. International Joint Conference on Neural Networks (IJCNN), pp. 1–9. IEEE.
ICONIP 2021Conference
Fed-FiS: A Novel Information-Theoretic Federated Feature Selection for Learning Stability
Banerjee, S., Elmroth, E., and Bhuyan, M.
Proc. International Conference on Neural Information Processing (ICONIP), pp. 480–487. Springer.
AI 2020Conference
Multi-diseases Classification from Chest X-ray: A Federated Deep Learning Approach
Banerjee, S., Misra, R., Prasad, M., Elmroth, E., and Bhuyan, M.
Proc. Australasian Joint Conference on Artificial Intelligence (AI 2020), pp. 3–15. Springer.
ICDCN 2020Conference
Low-Latency Energy-Efficient Cyber-Physical Disaster System Using Edge Deep Learning
Patel, Y. S., Banerjee, S., Misra, R., and Das, S. K.
Proc. 21st International Conference on Distributed Computing and Networking (ICDCN), pp. 34:1–34:6. ACM.
ICDCIT 2020Conference
A Framework Towards Generalized Mid-term Energy Forecasting Model for Industrial Sector in Smart Grid
Chakraborty, M., Banerjee, S., and Chaki, N.
Proc. International Conference on Distributed Computing and Internet Technology (ICDCIT), pp. 296–310. Springer.
ALAP 2018Conference
A novel symmetric algorithm for process synchronization in distributed systems
Banerjee, S., Mukherjee, P., Kanrar, S., and Chaki, N.
Algorithms and Applications: ALAP 2018, pp. 51–66. Springer Singapore.