Sourasekhar Banerjee

WASP-AI/MLX Ph.D. student. The domain of research is Distributed Machine Learning. I mainly deal with Machine Learning problems in Federated settings.

Contact

sourasekhar.banerjee@umu.se

Works at

Doctoral student at Department of Computing Science

Naturvetarhuset, Umeå universitet, NAT.B2.206 Umeå universitet, 901 87 Umeå

I am a WASP-AI/MLX Ph.D. student. The domain of my research is Distributed Machine Learning. I mainly deal with Machine Learning problems in Federated Settings such as Federated Feature Selection, Learning Models, and Optimization for Complex Data(IID, Non-IID, and heterogeneous).

Application of deep learning for energy management in smart grid

Deep learning in data analytics: recent techniques, practices and applications, Springer 2022 : 221-239

Banerjee, Sourasekhar; Ghosh, Soumitra; Mishra, Brojo Kishore

Fed-FiS: A Novel Information-Theoretic Federated Feature Selection for Learning Stability

Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part V, Springer Nature 2021 : 480-487

Banerjee, Sourasekhar; Elmroth, Erik; Bhuyan, Monowar H.

Multi-Diseases Classification From Chest-X-Ray: A Federated Deep Learning Approach

AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings, Springer 2020 : 3-15

Banerjee, Sourasekhar; Misra, Rajiv; Prasad, Mukesh; et al.

View publications in DiVA

Research groups

Group member

Autonomous Distributed Systems Lab