Sourasekhar Banerjee

Orcid: 0000-0002-3451-2851

According to our database1, Sourasekhar Banerjee authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Cost-Efficient Feature Selection for Horizontal Federated Learning.
IEEE Trans. Artif. Intell., December, 2024

Advancing federated learning: algorithms and use-cases
PhD thesis, 2024

Personalized Multi-tier Federated Learning.
CoRR, 2024

Federated Frank-Wolfe Algorithm.
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.
Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

2022
Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Fed-FiS: a Novel Information-Theoretic Federated Feature Selection for Learning Stability.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Low-Latency Energy-Efficient Cyber-Physical Disaster System Using Edge Deep Learning.
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.
Proceedings of the Distributed Computing and Internet Technology, 2020

Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020


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