2 papers
cs.LG2026
Gradient Under Microscope: Benchmarking Resource Utilization of Memory-Efficient Gradient Computation Methods
Sarthak Mahapatra, Zihan Zhou, Khatoon Khedri +2
AI training's rising resource intensity is straining electricity supplies and carbon budgets, motivating systematic study of memory-efficient training on constrained hardware. We b…
cs.LG2025
Pruning and Quantization Impact on Graph Neural Networks
Khatoon Khedri, Reza Rawassizadeh, Qifu Wen +1
Graph neural networks (GNNs) are known to operate with high accuracy on learning from graph-structured data, but they suffer from high computational and resource costs. Neural netw…