Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review

Autor: Lopez-Ramos, Luis M., Leiser, Florian, Rastogi, Aditya, Hicks, Steven, Strümke, Inga, Madai, Vince I., Budig, Tobias, Sunyaev, Ali, Hilbert, Adam

The joint implementation of Federated learning (FL) and Explainable artificial intelligence (XAI) will allow training models from distributed data and explaining their inner workings while preserving important aspects of privacy. Towards establishing

Externí odkaz: http://arxiv.org/abs/2411.05874

The Dynamics of Triple Interactions in Resting fMRI: Insights into Psychotic Disorders

Autor: Li, Qiang, Calhoun, Vince D., Iraji, Armin

The human brain dynamically integrated and configured information to adapt to the environment. To capture these changes over time, dynamic second-order functional connectivity was typically used to capture transient brain patterns. However, dynamic s

Externí odkaz: http://arxiv.org/abs/2411.00982

A wiggling filamentary jet at the origin of the blazar multi-wavelength behaviour

Autor: Raiteri, C. M., Villata, M., Carnerero, M. I., Kurtanidze, S. O., Mirzaqulov, D. O., Benítez, E., Bonnoli, G., Carosati, D., Acosta-Pulido, J. A., Agudo, I., Andreeva, T. S., Apolonio, G., Bachev, R., Borman, G. A., Bozhilov, V., Brown, L. F., Carbonell, W., Casadio, C., Chen, W. P., Damljanovic, G., Ehgamberdiev, S. A., Elsaesser, D., Escudero, J., Feige, M., Fuentes, A., Gabellini, D., Gazeas, K., Giroletti, M., Grishina, T. S., Gupta, A. C., Gurwell, M. A., Hagen-Thorn, V. A., Hamed, G. M., Hiriart, D., Hodges, M., ivanidze, R. Z., Ivanov, D. V., Joner, M. D., Jorstad, S. G., Jovanovic, M. D., Kiehlmann, S., Kimeridze, G. N., Kopatskaya, E. N., Kovalev, Yu. A., Kovalev, Y. Y., Kurtanidze, O. M., Kurtenkov, A., Larionova, E. G., Lessing, A., Lin, H. C., López, J. M., Lorey, C., Ludwig, J., Marchili, N., Marchini, A., Marscher, A. P., Matsumoto, K., Max-Moerbeck, W., Mihov, B., Minev, M., Mingaliev, M. G., Modaressi, A., Morozova, D. A., Mortari, F., Mufakharov, T. V., Myserlis, I., Nikolashvili, M. G., Pearson, T. J., Popkov, A. V., Rahimov, I. A., Readhead, A. C. S., Reinhart, D., Reeves, R., Righini, S., Romanov, F. D., Savchenko, S. S., Semkov, E., Shishkina, E. V., Sigua, L. A., Slavcheva-Mihova, L., Sotnikova, Yu. V., Steineke, R., Stojanovic, M., Strigachev, A., Takey, A., Traianou, E., Troitskaya, Yu. V., Troitskiy, I. S., Tsai, A. L., Valcheva, A., Vasilyev, A. A., Verna, G., Vince, O., Vrontaki, K., Weaver, Z. R., Webb, J., Yuldoshev, Q. X., Zaharieva, E., Zhovtan, A. V.

Blazars are beamed active galactic nuclei known for their strong multi-wavelength variability on timescales from years down to minutes. We aim to investigate the suitability of the twisting jet model presented in previous works to explain the multi-w

Externí odkaz: http://arxiv.org/abs/2410.22319

Residual resistance ratio of Cu stabilizer in commercial REBCO tapes

Autor: Lu, Jun, Xin, Yan, Toplosky, Vince, Levitan, Jeremy, Han, Ke, Wadhams, Jane, Humayun, Munir, Abraimov, Dmytro, Bai, Hongyu

Publikováno v: Cryogenics 141 (2024) 103901

Residual resistance ratio (RRR) of Cu stabilizer in REBCO coated conductor is an important design parameter for REBCO magnets. In this work, we measured RRR of electroplated Cu stabilizer in commercial REBCO tapes. Over 130 samples were measured for

Externí odkaz: http://arxiv.org/abs/2410.09919

Equality Constrained Diffusion for Direct Trajectory Optimization

Autor: Kurtz, Vince, Burdick, Joel W.

The recent success of diffusion-based generative models in image and natural language processing has ignited interest in diffusion-based trajectory optimization for nonlinear control systems. Existing methods cannot, however, handle the nonlinear equ

Externí odkaz: http://arxiv.org/abs/2410.01939