Federated Learning
Privacy-preserving distributed learning for multi-robot systems. Our work includes dynamic hybrid resource utilization and intelligent layering for communication-efficient training.
We publish papers and present them at some of the world's top conferences and research journals.
Some of our recent publications. We have 35+ papers published in top conferences and journals.
Laplacian-Based Frequency Injection Network for Camouflage Object Detection. Aravinthakshan et al.
Integrated Multi-Layered Security for Resource-Constrained UAV Swarm Communications. Bhatt et al.
Hypernet-Guided Feature Pyramid Network for Mixed-Exposure Correction.
MCS-based Intelligent Layering for Resource Utilization. Bhatt et al.
Adaptive Routing for Satellite Quantum Networks under Orbital and Atmospheric Variability. Bhatt et al.
Topological Feature-based Adversarial Attack Mitigation in OCR Models. Bhaghyesh et al.
Reduce until only the essential remains. Every element earns its place.
Design behaviors, not just layouts. Build logic that scales.
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