Hebert, L., Golab, L., Poupart, P., & Cohen, R. (2022). FedFormer: Contextual Federation With Attention in Reinforcement Learning ArXiv, abs/2205.13697. https://doi.org/10.48550/arXiv.2205.13697
References
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Ilyas, I., Rekatsinas, T., Konda, V., Pound, J., Qi, X., & Soliman, M. A. (2022). Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale Presented at the Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale conference. https://doi.org/10.1145/3514221.3526049
Kane, A., Ng, Y. K., & Tompa, F. (2022). Dowsing for Answers to Math Questions: Doing Better With Less Presented at the Dowsing for Answers to Math Questions: Doing Better With Less conference. Retrieved from http://ceur-ws.org/Vol-3180/paper-03.pdf
Ilyas, I., & Rekatsinas, T. (2022). Machine Learning and Data Cleaning: Which Serves the Other? Journal of Data and Information Quality, 14, 1-13. https://doi.org/10.1145/3506712
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