3 papers
cs.CV2026
Bit-ViP: Leveraging Bit-planes to Preserve Visual Privacy in Images through Obfuscation
Vishesh Kumar Tanwar, Ashish Gupta, Sanjay Madria +1
The unprecedented growth of computer vision applications, such as surveillance systems and social media, raises security and visual privacy concerns, especially when data is stored…
cs.DC2025
Energy-Efficient Split Learning for Resource-Constrained Environments: A Smart Farming Solution
Keiwan Soltani, Vishesh Kumar Tanwar, Ashish Gupta +1
Smart farming systems encounter significant challenges, including limited resources, the need for data privacy, and poor connectivity in rural areas. To address these issues, we pr…
cs.DC2025
When Federated Learning Meets Quantum Computing: Survey and Research Opportunities
Aakar Mathur, Ashish Gupta, Sajal K. Das
Quantum Federated Learning (QFL) is an emerging field that harnesses advances in Quantum Computing (QC) to improve the scalability and efficiency of decentralized Federated Learnin…