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Staff photo Sourasekhar Banerjee

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.

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Doctoral student at Department of Computing Science
Location
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).

ICDCN '23: Proceedings of the 24th International Conference on Distributed Computing and Networking, ACM Digital Library 2023 : 372-377
Banerjee, Sourasekhar; Patel, Yashwant Singh; Kumar, Pushkar; et al.
Deep learning in data analytics: recent techniques, practices and applications, Springer 2022 : 221-239
Banerjee, Sourasekhar; Ghosh, Soumitra; Mishra, Brojo Kishore
2022 International Joint Conference on Neural Networks (IJCNN), IEEE 2022 : 1-9
Banerjee, Sourasekhar; Vu, Xuan-Son; Bhuyan, Monowar H.
FL-NeurIPS'22, International Workshop on Federated Learning: Recent Advances and New Challenges in Conjunction with NeurIPS 2022, New Orleans, LA, USA, December 2, 2022
Banerjee, Sourasekhar; Yurtsever, Alp; Bhuyan, Monowar H.
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.
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.

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