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Achin Jain

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#federated learning Open access Oct 2026

ATLAS: an adaptive threat learning and analysis system using heterogeneous federated deep learning and FedNova aggregation for multi-cloud environments

The proliferation of multi-cloud architectures has intensified challenges in phishing detection, as security intelligence becomes fragmented across heterogeneous cloud infrastructures governed by stringent privacy regulations and data sovereignty constraints. Conventional centralized threat detection paradigms necessit...

Shakir Khan, Arvind Panwar, Achin Jain et al. · 0 citations
Open access Aug 2026

A novel optimized deep ensemble for monkeypox lesion detection using transfer learning and ABC algorithm

Monkeypox, a reemerging zoonotic disease, has become a serious global health concern that requires rapid and accurate diagnostic methods. The increasing prevalence of skin lesion images highlights the scope of automated deep learning solutions. However, current approaches face challenges such as limited generalization...

Prashant Sharma, Achin Jain, A. Dubey et al. · 0 citations
Open access Jul 2026

Adaptive test-time augmentation via KL-regularized reinforcement learning for robust visual inference.

Deep neural networks often suffer significant accuracy degradation when exposed to real-world image corruptions and distribution shifts. To overcome the limitations of fixed, input-agnostic test-time augmentation (TTA), an adaptive framework is proposed that learns per-sample transformations via reinforcement learning....

T. Mittal, A. Dubey, Dharmender Saini et al. · 0 citations

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