2 papers
cs.LG2025
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Xinyu Zhou, Jun Zhao, Huimei Han +1
Federated Learning (FL) is an intriguing distributed machine learning approach due to its privacy-preserving characteristics. To balance the trade-off between energy and execution…
q-fin.CP2025
Deep self-consistent learning of local volatility
Zhe Wang, Ameir Shaa, Nicolas Privault +1
We present an algorithm for the calibration of local volatility from market option prices through deep self-consistent learning, by approximating both market option prices and loca…