Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing

Autor: Nguyen, Hai M., Chu, Nam H., Nguyen, Diep N., Hoang, Dinh Thai, Nguyen, Van-Dinh, Ha, Minh Hoang, Dutkiewicz, Eryk, Krunz, Marwan

Federated Learning (FL) with quantization and deliberately added noise over wireless networks is a promising approach to preserve user differential privacy (DP) while reducing wireless resources. Specifically, an FL process can be fused with quantize

Externí odkaz: http://arxiv.org/abs/2211.07166

Sub-ambient radiative cooling with thermally insulating polyethylene terephthalate aerogels recycled from plastic waste

Autor: Goh, Xue Yang, Hwang, Jaesuk, Nguyen, Luon Tan, Ong, Ren Hong, Bai, Tianliang, Duong, Hai M.

Publikováno v: In Solar Energy 15 May 2024 274

Fabrication and properties of polyethylene terephthalate (PET) aerogel composites from plastic bottle waste

Autor: Goh, Xue Yang, Guo, Kaiting, Nguyen, Luon Tan, Ong, Ren Hong, Duong, Hai M.

Publikováno v: In Materials Today Communications December 2023 37

COHERENT Collaboration data release from the first observation of coherent elastic neutrino-nucleus scattering

Autor: COHERENT Collaboration, Akimov, D., Albert, J. B., An, P., Awe, C., Barbeau, P. S., Becker, B., Belov, V., Blackston, M. A., Bolozdynya, A., Brown, A., Burenkov, A., Cabrera-Palmer, B., Cervantes, M., Collar, J. I., Cooper, R. J., Cooper, R. L., Cuesta, C., Daughhetee, J., Dean, D. J., Coello, M. del Valle, Detwiler, J., D'Onofrio, M., Eberhardt, A., Efremenko, Y., Elliott, S. R., Etenko, A., Fabris, L., Febbraro, M., Fields, N., Fox, W., Fu, Z., Galindo-Uribarri, A., Green, M. P., Hai, M., Heath, M. R., Hedges, S., Hornback, D., Hossbach, T. W., Iverson, E. B., Kaemingk, M., Kaufman, L. J., Klein, S. R., Khromov, A., Ki, S., Konovalov, A., Kovalenko, A., Kremer, M., Kumpan, A., Leadbetter, C., Li, L., Lu, W., Mann, K., Markoff, D. M., Melikyan, Y., Miller, K., Moreno, H., Mueller, P. E., Naumov, P., Newby, J., Orrell, J. L., Overman, C. T., Parno, D. S., Penttila, S., Perumpilly, G., Radford, D. C., Rapp, R., Ray, H., Raybern, J., Reyna, D., Rich, G. C., Rimal, D., Rudik, D., Salvat, D. J., Scholberg, K., Scholz, B., Sinev, G., Snow, W. M., Sosnovtsev, V., Shakirov, A., Suchyta, S., Suh, B., Tayloe, R., Thornton, R. T., Tolstukhin, I., Vanderwerp, J., Varner, R. L., Virtue, C. J., Wan, Z., Yoo, J., Yu, C. -H., Zawada, A., Zderic, A., Zettlemoyer, J.

This release includes data and information necessary to perform independent analyses of the COHERENT result presented in Akimov et al., arXiv:1708.01294 [nucl-ex]. Data is shared in a binned, text-based format, including both "signal" and "background

Externí odkaz: http://arxiv.org/abs/1804.09459

Addressing the quantitative conversion bottleneck in single-atom catalysis

Autor: Zhongxin Chen, Jingting Song, Rongrong Zhang, Runlai Li, Qikun Hu, Pingping Wei, Shibo Xi, Xin Zhou, Phuc T. T. Nguyen, Hai M. Duong, Poh Seng Lee, Xiaoxu Zhao, Ming Joo Koh, Ning Yan, Kian Ping Loh

Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)

The practical application of single atom catalyst (SAC) in liquid-phase heterogeneous catalysis is hampered by the productivity bottleneck as well as catalyst leaching. Here, a bench-top, fast-flow reactor integrated with Pt1-MoS2 SAC was fabricated

Externí odkaz: https://doaj.org/article/0b403d65652f45119042f2fc767e5c1d