Research

Publications

Research on federated learning, continual learning, privacy and IoT security, published at venues such as WACV, ECML-PKDD, IEEE ICC and IEEE TAI. Full list also on Google Scholar ↗

18Publications
12Conference papers
5Journal, workshop & chapters
1Granted patent

Journal Articles 1

IEEE TAI 2024Journal

Cost-Efficient Feature Selection for Horizontal Federated Learning

Banerjee, S., Bhuyan, D., Elmroth, E., and Bhuyan, M.
IEEE Transactions on Artificial Intelligence, vol. 5, no. 12, pp. 6551–6565.

Conference Papers 12

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.

Workshop Papers 3

SNCNW 2026Workshop

Towards Intrusion Detection Systems for RPL-based IoT Networks using Foundation Models

Lunderbye, E., Banerjee, S., Rohner, C., and Johnsson, A.
Accepted and presented in the Swedish National Computer Networking Workshop (SNCNW). arXiv:2606.03530.
SNCNW 2026Workshop

Rethinking IoT Intrusion Detection: Augmenting Routing Metrics with Radio Features

Sun, Y., Johnsson, A., and Banerjee, S.
Accepted and presented in the Swedish National Computer Networking Workshop (SNCNW). arXiv:2606.07282.
NeurIPS 2022Workshop

Personalized Multi-tier Federated Learning

Banerjee, S., Yurtsever, A., and Bhuyan, M.
Accepted and presented in Workshop on Federated Learning: Recent Advances and New Challenges (NeurIPS).

Book Chapters 1

Springer 2021Book chapter

Application of deep learning for energy management in smart grid

Banerjee, S., Ghosh, S., and Mishra, B. K.
Deep Learning in Data Analytics: Recent Techniques, Practices and Applications, pp. 221–239. Springer.

Patent 1

Indian Patent 2024Patent

System and Method for Detection of Banned Objects from Images in Real-time using Intelligence at the Edge

Shekhar, H., Banerjee, S., Misra, R., and Patel, Y. S.
Indian Patent No. 550543, Application No. 202031006618.