Zobrazeno 1 - 10
of 17 080
pro vyhledávání: '"GAURI, A."'
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 24, Iss 1, Pp 51-60 (2024)
Variation in switching frequency with operating speed and high torque ripples are two important limitations of the Direct Torque Control or DTC technique. The potentiality of the switching device cannot be fully exploited for variable switching fre
Externí odkaz:
https://doaj.org/article/9ef1e48897df4248b0f9d13c3315fe5e
We study a federated version of multi-objective optimization (MOO), where a single model is trained to optimize multiple objective functions. MOO has been extensively studied in the centralized setting but is less explored in federated or distributed
Externí odkaz:
http://arxiv.org/abs/2410.16398
Autor:
Armacki, Aleksandar, Yu, Shuhua, Sharma, Pranay, Joshi, Gauri, Bajovic, Dragana, Jakovetic, Dusan, Kar, Soummya
We study high-probability convergence in online learning, in the presence of heavy-tailed noise. To combat the heavy tails, a general framework of nonlinear SGD methods is considered, subsuming several popular nonlinearities like sign, quantization,
Externí odkaz:
http://arxiv.org/abs/2410.13954
Federated learning harnesses the power of distributed optimization to train a unified machine learning model across separate clients. However, heterogeneous data distributions and computational workloads can lead to inconsistent updates and limit mod
Externí odkaz:
http://arxiv.org/abs/2410.09933
Autor:
Naidu, Rohan P., Matthee, Jorryt, Kramarenko, Ivan, Weibel, Andrea, Brammer, Gabriel, Oesch, Pascal A., Lechner, Peter, Furtak, Lukas J., Di Cesare, Claudia, Torralba, Alberto, Kotiwale, Gauri, Bezanson, Rachel, Bouwens, Rychard J., Chandra, Vedant, Claeyssens, Adélaïde, Danhaive, A. Lola, Frebel, Anna, de Graaff, Anna, Greene, Jenny E., Heintz, Kasper E., Ji, Alexander P., Kashino, Daichi, Katz, Harley, Labbe, Ivo, Leja, Joel, Li, Yijia, Maseda, Michael V., Richard, Johan, Shivaei, Irene, Simcoe, Robert A., Sobral, David, Suess, Katherine A., Tacchella, Sandro, Williams, Christina C.
Dwarf galaxies hold the key to crucial frontiers of astrophysics, however, their faintness renders spectroscopy challenging. Here we present the JWST Cycle 2 survey, All the Little Things (ALT, PID 3516), which is designed to seek late-forming Pop II
Externí odkaz:
http://arxiv.org/abs/2410.01874
In cross-device federated learning (FL) with millions of mobile clients, only a small subset of clients participate in training in every communication round, and Federated Averaging (FedAvg) is the most popular algorithm in practice. Existing analyse
Externí odkaz:
http://arxiv.org/abs/2410.01209
Increased healthcare demand is significantly straining European services. Digital solutions including advanced modelling techniques offer a promising solution to optimising patient flow without impacting day-to-day healthcare provision. In this work
Externí odkaz:
http://arxiv.org/abs/2410.12804
In this work, we present the transverse momentum spectra of prompt and decay photons in Au-Au collisions for $\sqrt{s_{NN}}=$ 200 GeV, 62.4 GeV, 39 GeV, and 27 GeV. The major sources of the photons in Angantyr include hard processes, Parton showers,
Externí odkaz:
http://arxiv.org/abs/2409.15938
Federated learning (FL) is a popular approach that enables organizations to train machine learning models without compromising data privacy and security. As the field of FL continues to grow, it is crucial to have a thorough understanding of the topi
Externí odkaz:
http://arxiv.org/abs/2409.15773
Autor:
Shankar, Gauri, Uddin, Md Raihan, Mukta, Saddam, Kumar, Prabhat, Islam, Shareeful, Islam, A. K. M. Najmul
Blockchain technology is an emerging digital innovation that has gained immense popularity in enhancing individual security and privacy within Information Systems (IS). This surge in interest is reflected in the exponential increase in research artic
Externí odkaz:
http://arxiv.org/abs/2409.14472