Sunny Gupta

According to our database1, Sunny Gupta authored at least 11 papers between 2014 and 2025.

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Bibliography

2025
FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching.
CoRR, June, 2025

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data.
CoRR, June, 2025

FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
Sequential Compression Layers for Efficient Federated Learning in Foundational Models.
CoRR, 2024

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance.
CoRR, 2024

FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator.
CoRR, 2024

Taming the Tail: Leveraging Asymmetric Loss and Padé Approximation to Overcome Long-Tailed Class Imbalance.
Proceedings of the 35th British Machine Vision Conference, 2024

FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Successes and challenges of artificial intelligence in cardiology.
Frontiers Digit. Health, March, 2023

2014
Big Data: Overview.
CoRR, 2014

Importance and Techniques of Information Hiding : A Review.
CoRR, 2014


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