2 papers
cs.LG2026
Communication-Efficient Federated AUC Maximization with Cyclic Client Participation
Umesh Vangapally, Wenhan Wu, Chen Chen +1
Federated AUC maximization is a powerful approach for learning from imbalanced data in federated learning (FL). However, existing methods typically assume full client availability,…
cs.LG2025
Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums
SriVarsha Mulakala, Umesh Vangapally, Benjamin Larkey +2
Analyzing stocks and making higher accurate predictions on where the price is heading continues to become more and more challenging therefore, we designed a new financial algorithm…