3 papers
cs.PF2026
Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators
Amitash Nanda, Javier Hernandez Nicolau, Madhusudan Gujral +3
Generative AI models, such as Large Language Models (LLMs) and diffusion models, have demonstrated impressive performance across a wide range of tasks. Despite these advances, depl…
cs.LG2025
Decoding Federated Learning: The FedNAM+ Conformal Revolution
Sree Bhargavi Balija, Amitash Nanda, Debashis Sahoo
Federated learning has significantly advanced distributed training of machine learning models across decentralized data sources. However, existing frameworks often lack comprehensi…
cs.CL2024
CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models
Amitash Nanda, Sree Bhargavi Balija, Debashis Sahoo
Large language models have transformed the comprehension and generation of natural language tasks, but they come with substantial memory and computational requirements. Quantizatio…