Sourasekhar Banerjee

According to our database, Sourasekhar Banerjee authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Predicting Event Memorability Using Personalized Federated Learning.

Sourasekhar Banerjee, Debaditya Roy, Vigneshwaran Subbaraju, Monowar H. Bhuyan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Cost-Efficient Feature Selection for Horizontal Federated Learning.

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

IEEE Trans. Artif. Intell., December, 2024

Advancing federated learning: algorithms and use-cases

Sourasekhar Banerjee

PhD thesis, 2024

Personalized Multi-tier Federated Learning.

Sourasekhar Banerjee, Ali Dadras, Alp Yurtsever, Monowar H. Bhuyan

CoRR, 2024

Federated Frank-Wolfe Algorithm.

Ali Dadras, Sourasekhar Banerjee, Karthik Prakhya, Alp Yurtsever

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Towards Post-disaster Damage Assessment using Deep Transfer Learning and GAN-based Data Augmentation.

Sourasekhar Banerjee, Yashwant Singh Patel, Pushkar Kumar, Monowar H. Bhuyan

Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

2022

Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection.

Sourasekhar Banerjee, Xuan-Son Vu, Monowar H. Bhuyan

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

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

Sourasekhar Banerjee, Erik Elmroth, Monowar H. Bhuyan

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Low-Latency Energy-Efficient Cyber-Physical Disaster System Using Edge Deep Learning.

Yashwant Singh Patel, Sourasekhar Banerjee, Rajiv Misra, Sajal K. Das

Proceedings of the ICDCN 2020: 21st International Conference on Distributed Computing and Networking, 2020

A Framework Towards Generalized Mid-term Energy Forecasting Model for Industrial Sector in Smart Grid.

Manali Chakraborty, Sourasekhar Banerjee, Nabendu Chaki

Proceedings of the Distributed Computing and Internet Technology, 2020

Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach.

Sourasekhar Banerjee, Rajiv Misra, Mukesh Prasad, Erik Elmroth, Monowar H. Bhuyan

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020