AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Economic networks are often estimated separately over two periods, and changes in their edge sets are interpreted as structural rewiring. Since both networks are estimated, observed turnover also reflects graph-selection error. We study the two-snapshot Hamming-turnover functional under a homogeneous edge-misclassifica...
FedIncome is introduced, a federated learning framework for income estimation that enables institutions to train a shared model without pooling raw borrower records and improves out-of-time performance across all sample-size groups, with the largest gains for data-scarce clients.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.