1 citations · 1 across the 5 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization
Shivam Pal, Aishwarya Gupta, Saqib Sarwar +1
Federated Learning (FL) has emerged as a promising method to collaboratively learn from decentralized and heterogeneous data available at different clients without the requirement…
cs.LG2024★ 1 cited
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage
Aishwarya Gupta, Indranil Saha, Piyush Rai
Rigorous testing of machine learning models is necessary for trustworthy deployments. We present a novel black-box approach for generating test-suites for robust testing of deep ne…