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We introduce the Hubs and Spokes Learning (HSL) framework, a novel paradigm for collaborative machine learning that combines the strengths of Federated Learning (FL) and Decentralized Learning (P2PL). HSL employs a two-tier communication…

Machine Learning · Computer Science 2025-04-30 Atul Sharma , Kavindu Herath , Saurabh Bagchi , Chaoyue Liu , Somali Chaterji

Split Learning (SL) is a promising collaborative machine learning approach, enabling resource-constrained devices to train models without sharing raw data, while reducing computational load and preserving privacy simultaneously. However,…

Machine Learning · Computer Science 2024-11-22 Yunrui Sun , Gang Hu , Yinglei Teng , Dunbo Cai

We investigate TE-wave propagation in a hollow waveguide with a graded dielectric layer, described using a hyperbolic tangent function. General formulae for the electric field components of the TE-waves, applicable to hollow waveguides with…

Applied Physics · Physics 2018-04-11 M Dalarsson , S Nordebo

With the construction of low-earth orbit (LEO) satellite constellations, ubiquitous connectivity has been achieved. Terrestrial networks (TNs), such as cellular networks, are mainly deployed in specific urban areas and use licensed…

Signal Processing · Electrical Eng. & Systems 2025-09-12 Bodong Shang , Zheng Wang , Xiangyu Li , Chungang Yang , Chao Ren , Haijun Zhang

The High Level Trigger (HLT) of the future ALICE heavy-ion experiment has to reduce its input data rate of up to 25 GB/s to at most 1.25 GB/s for output before the data is written to permanent storage. To cope with these data rates a large…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-09-29 Timm M. Steinbeck

Accurate modeling of infrasound transmission losses (TLs) is essential to assess the performance of the global International Monitoring System infrasound network. Among existing propagation modeling tools, parabolic equation (PE) method…

Signal Processing · Electrical Eng. & Systems 2025-06-10 Alexis Le Pichon , Alice Janela Cameijo , Samir Aknine , Youcef Sklab , Souhila Arib , Quentin Brissaud , Sven Peter Naesholm

We are highly vulnerable to either natural or artificial catastrophes and therefore, Public Protection and Disaster Relief (PPDR) operators need reliable wireless communications for successful operations especially in critical rescue…

Networking and Internet Architecture · Computer Science 2016-09-09 Julius Sechang Mboli

Gravitational lensing data is frequently collected at low resolution due to instrumental limitations and observing conditions. Machine learning-based super-resolution techniques offer a method to enhance the resolution of these images,…

Instrumentation and Methods for Astrophysics · Physics 2024-06-13 Pranath Reddy , Michael W Toomey , Hanna Parul , Sergei Gleyzer

Generalized property-directed reachability (GPDR) belongs to the family of the model-checking techniques called IC3/PDR. It has been successfully applied to software verification; for example, it is the core of Spacer, a state-of-the-art…

Programming Languages · Computer Science 2019-11-28 Kohei Suenaga , Takuya Ishizawa

Planetary ephemerides are a very powerful tool to constrain deviations from the theory of General Relativity using orbital dynamics. The effective field theory framework called the Standard-Model Extension (SME) has been developed in order…

Low Earth orbit (LEO) satellites are being considered for expanding legacy terrestrial cellular networks. The end users may not be able to optimize satellite orbits and constellations, however, they can optimize locations of ground stations…

Space Physics · Physics 2019-10-25 Iestyn Morgan-Jones , Pavel Loskot

Topology identification (TI) is a key task for state estimation (SE) in distribution grids, especially the one with high-penetration renewables. The uncertainties, initiated by the time-series behavior of renewables, will almost certainly…

Applications · Statistics 2023-12-12 Xing He , Robert Qiu , Qian Ai , Tianyi Zhu

Equilibrium Propagation (EP) is a learning algorithm for training Energy-based Models (EBMs) on static inputs which leverages the variational description of their fixed points. Extending EP to time-varying inputs is a challenging problem,…

Machine Learning · Computer Science 2026-04-14 Guillaume Pourcel , Debabrota Basu , Maxence Ernoult , Aditya Gilra

The adoption of text-to-image diffusion models raises concerns over reliability, drawing scrutiny under the lens of various metrics like calibration, fairness, or compute efficiency. We focus in this work on two issues that arise when…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Michael Kirchhof , James Thornton , Louis Béthune , Pierre Ablin , Eugene Ndiaye , Marco Cuturi

Belief propagation (BP) is a message-passing method for solving probabilistic graphical models. It is very successful in treating disordered models (such as spin glasses) on random graphs. On the other hand, finite-dimensional lattice…

Statistical Mechanics · Physics 2016-02-17 Hai-Jun Zhou , Wei-Mou Zheng

The path-loss exponent (PLE) is one of the most crucial parameters in wireless communications to characterize the propagation of fading channels. It is currently adopted for many different kinds of wireless network problems such as power…

Signal Processing · Electrical Eng. & Systems 2018-07-12 Yongchang Hu , Geert Leus

In the context of the currently ongoing efforts to improve the accuracy and reliability of the measurement of the Lense-Thirring effect in the gravitational field of the Earth it has recently been proposed to use the data from the existing…

General Relativity and Quantum Cosmology · Physics 2007-05-23 Lorenzo Iorio

Minimally twisted bilayer graphene (TBG) with interlayer potential asymmetry host one-dimensional (1D) topological helical states (THSs) at domain walls between AB/BA stacking regions. However, the nature of THS propagation remains elusive.…

Mesoscale and Nanoscale Physics · Physics 2024-10-17 Zhe Hou , Kai Yuan , Hua Jiang

The sub-luminal phase velocity of electromagnetic waves in free space is generally unobtainable, being closely linked to forbidden faster than light group velocities. The requirement of effective sub-luminal phase-velocity in laser-driven…

Accelerator Physics · Physics 2017-11-01 D. A. Walsh , D. S. Lake , E. W. Snedden , M. J. Cliffe , D. M. Graham , S. P. Jamison

Current optical coherent transponders technology is driving data rates towards 1 Tb/s/{\lambda}and beyond. This trend requires both high-performance coded modulation schemes and efficient implementation of the forward-error-correction (FEC)…

Signal Processing · Electrical Eng. & Systems 2020-07-15 Gabriele Liga , Bin Chen , Sjoerd van der Heide , Alireza Sheikh , Menno van der Hout , Chigo Okonkwo , Alex Alvarado
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