Author

Subitha D.

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#federated learning Open access Sep 2026

Alzheimer's detection using quanvolutional neural networks with federated training

Alzheimer's disease detection from MRI data is challenging because of subtle anatomical patterns, high-dimensional image data, and privacy constraints associated with centralized medical-data training. We propose a hybrid quantum–classical federated learning framework using a frozen four-qubit quanvolutional front-end....

Prakhar Mishra, Subitha D., Pramukh Rajendra Jain et al. · Frontiers in Neuroscience · 0 citations

#reinforcement learning Open access Sep 2026

Beyond static snapshots: gated recurrent units and graph attention networks for smarter multi-agent traffic control

Existing multi-agent reinforcement learning (MARL) approaches for traffic signal control often fail to capture two critical characteristics of real-world urban traffic: the dynamic spatio-temporal propagation of congestion across intersections and the frequent imperfection of sensor data. To address these fundamental g...

Mohita, Sidak Deep Singh, D. Subitha et al. · Frontiers in Artificial Inte... · 0 citations