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https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206190%20Camera%20Ready%20Version.pdf
a major challenge for federated learning in diverse settings. Personalized Federated Learning (PFL), [Tan et al., 2022a] addresses these issues by allowing client-specific models that leverage global insights to enhance local outcomes. The main challenge in PFL lies in balancing global knowledge sharing with preserving client-specific information, making the trade- off an important research ...
https://www.fox.temple.edu/sites/fox/files/Complementarity-and-Cannibalization-of-Offline-to-Online-Targeting-A-Field-Experiment-on-Omnichannel-Commerce.pdf
However, it is debatable whether such offline-to-online tar-geting is effective. On the one hand, advocates argue that inducing offline customers to buy online may complement a firm’s store channel. This is because as more channels are used to engage customers, the value of these customers increases (Gimpel et al. 2018), and multichannel shoppers are more loyal and spend more than single ...
https://www.fox.temple.edu/sites/fox/files/documents/CVs/xueming-luo-cv.pdf
Bio: Xueming Luo is the Charles Gilliland Distinguished Chair Professor of Marketing, Professor of Strategy, and Professor of MIS, and Founder/ Director of the Global Institute for Artificial Intelligence & Business Analytics in the Fox School of Business at Temple University. He is an interdisciplinary thought-leader in leveraging AI/ML algorithms, text/audio/image/video big data ...