Sunny Gupta — accepted AI-conference papers

2026

Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract)

Suraj Prasad, Navyansh Mahla, Sunny Gupta, Amit Sethi

AAAI 2026technical

Existing federated prompt learning methods for vision-language models like CLIP rely solely on text-based prompts and final-layer visual features, missing crucial multiscale visual details and client-specific style variations. This limits generalization across non-IID distributions and novel classes

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2026

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract)

Sunny Gupta, Nikita Jangid, Amit Sethi

AAAI 2026technical

Federated Learning (FL) often suffers from severe performance degradation when faced with non-IID data, largely due to local classifier bias. Traditional remedies such as global model regularization or layer freezing either incur high computational costs or struggle to adapt to feature shifts. In th

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