IEEE

Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset

Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
INSPIRE

Angular distribution functions for the decay of charmonium states directly produced by polarized proton anti-proton collisions

We calculate the combined angular distribution functions in the cascade process pp¯→χJ→ψγ→(e+e−)γ(J=0,1,2) in terms of the complex angular momentum helicity amplitudes or equivalently in terms of the ...
INSPIRE

Fixed Particle Number and Angular Momentum Double-Projected BCS Wave Functions

In this paper, a method for projecting the usual BCS states simultaneously onto the eigenstates of particle number and angular momentum is suggested. Fomenko's method of projection in the occupation ...
IEEE

O-RAN-Based Digital Twin Function Virtualization for Sustainable IoV Service Response: An Asynchronous Hierarchical Reinforcement Learning Approach

Abstract: Digital Twin for Vehicular Networks (DTVN) continuously simulates and optimizes vehicle behaviors to support emerging 6G Internet-of-Vehicle (IoV) applications such as DT-assisted autonomous ...