Tootfinder

FedCVD : Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization
Abdelrhman Gaber, Hassan Abd-Eltawab, John Elgallab, Youssif Abuzied, Dineo Mpanya, Turgay Celik, Swarun Kumar, Tamer ElBatt
https://arxiv.org/abs/2507.22963…

FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization
Cardiovascular diseases (CVD) cause over 17 million deaths annually worldwide, highlighting the urgent need for privacy-preserving predictive systems. We introduce FedCVD++, an enhanced federated learning (FL) framework that integrates both parametric models (logistic regression, SVM, neural networks) and non-parametric models (Random Forest, XGBoost) for coronary heart disease risk prediction. To address key FL challenges, we propose: (1) tree-subset sampling that reduces Random Forest communi…

ISI-Aware Code Design: A Linear Approach Towards Reliable Molecular Communication
Tamoghno Nath, Krishna Gopal Benerjee, Adrish Banerjee
https://arxiv.org/abs/2506.23787

ISI-Aware Code Design: A Linear Approach Towards Reliable Molecular Communication
Intersymbol Interference (ISI) is a major bottleneck in Molecular Communication via Diffusion (MCvD), degrading system performance. This paper introduces two families of linear channel codes to mitigate ISI: Zero Pad Zero Start (ZPZS) and Zero Pad (ZP) codes, ensuring that each codeword avoids consecutive bit-1s. The ZPZS and ZP codes are then combined to form a binary ZP code, offering a higher code rate than linear ZP codes and allowing simple decoding via the Majority Location Rule (MLR). Ad…

A Correlation-Based Design of RIS for Reduced Power Consumption and Simplified Control Circuitry
Zina Mohamed, Ammar B. Kouki, Sonia A\"issa
https://arxiv.org/abs/2506.22702 …

A Correlation-Based Design of RIS for Reduced Power Consumption and Simplified Control Circuitry
Aiming at simplifying the hardware structure and reducing the energy consumption in wireless communication via reconfigurable intelligent surfaces (RIS), this paper introduces a novel RIS design founded on the correlation between the phase shift values of the surface elements. First, a correlation analysis is conducted, considering the azimuth angle of a target device within a coverage region spanning from $-80^{\circ}$ to $80^{\circ}$. The correlation is demonstrated for different deployment c…

On the Achievable Rate of Satellite Quantum Communication Channel using Deep Autoencoder Gaussian Mixture Model
Mouli Chakraborty, Subhash Chandra, Avishek Nag, Anshu Mukherjee
https://arxiv.org/abs/2507.23695

On the Achievable Rate of Satellite Quantum Communication Channel using Deep Autoencoder Gaussian Mixture Model
We present a comparative study of the Gaussian mixture model (GMM) and the Deep Autoencoder Gaussian Mixture Model (DAGMM) for estimating satellite quantum channel capacity, considering hybrid quantum noise (HQN) and transmission constraints. While GMM is simple and interpretable, DAGMM better captures non-linear variations and noise distributions. Simulations show that DAGMM provides tighter capacity bounds and improved clustering. This introduces the Deep Cluster Gaussian Mixture Model (DCGMM…

Why Are Parsing Actions for Understanding Message Hierarchies Not Random?
Daichi Kato, Ryo Ueda, Yusuke Miyao
https://arxiv.org/abs/2506.22366 https://

Why Are Parsing Actions for Understanding Message Hierarchies Not Random?
If humans understood language by randomly selecting parsing actions, it might have been necessary to construct a robust symbolic system capable of being interpreted under any hierarchical structure. However, human parsing strategies do not seem to follow such a random pattern. Why is that the case? In fact, a previous study on emergent communication using models with hierarchical biases have reported that agents adopting random parsing strategies$\unicode{x2013}$ones that deviate significantly …

Projective Transformations for Regularized Central Force Dynamics: Hamiltonian Formulation
Joseph T. A. Peterson, Manoranjan Majji, John L. Junkins
https://arxiv.org/abs/2506.22681

Projective Transformations for Regularized Central Force Dynamics: Hamiltonian Formulation
This work introduces a Hamiltonian approach to regularization and linearization of central force particle dynamics through a new canonical extension of the so-called "projective decomposition". The regularization scheme is formulated within the framework of classic analytical Hamiltonian dynamics as a redundant-dimensional canonical/symplectic coordinate transformation, combined with an evolution parameter transformation, on extended phase space. By considering a generalized version of the stan…

Optimal Motion Scaling for Delayed Telesurgery
Jason Lim, Florian Richter, Zih-Yun Chiu, Jaeyon Lee, Ethan Quist, Nathan Fisher, Jonathan Chambers, Steven Hong, Michael C. Yip
https://arxiv.org/abs/2506.21689

Optimal Motion Scaling for Delayed Telesurgery
Robotic teleoperation over long communication distances poses challenges due to delays in commands and feedback from network latency. One simple yet effective strategy to reduce errors and increase performance under delay is to downscale the relative motion between the operating surgeon and the robot. The question remains as to what is the optimal scaling factor, and how this value changes depending on the level of latency as well as operator tendencies. We present user studies investigating th…

Heute vor 56 Jahren: Am 31. Mai 1969 führten die #UDSSR in Sary-Uzen/Murzhik, Semipalatinsk, Kazakhstan den 301. #Atomtest durch. Er diente der #Waffenentwicklung und fand unterirdisch (Tunnel/…

Communication-Efficient Algorithms for Distributed Nonconvex Minimax Optimization Problems
Haoyuan Cai, Sulaiman A. Alghunaim, Ali H. Sayed
https://arxiv.org/abs/2507.21901 http…

Communication-Efficient Algorithms for Distributed Nonconvex Minimax Optimization Problems
We study stochastic nonconvex Polyak-Łojasiewicz minimax problems and propose algorithms that are both communication- and sample-efficient. The proposed methods are developed under three setups: decentralized/distributed, federated/centralized, and single-agent. By exploiting second-order Lipschitz continuity and integrating communication-efficient strategies, we develop a new decentralized normalized accelerated momentum method with local updates and establish its convergence to an $\varepsil…

A Novel Cost-Effective MIMO Architecture with Ray Antenna Array for Enhanced Wireless Communication Performance
Zhenjun Dong, Zhiwen Zhou, Yong Zeng
https://arxiv.org/abs/2505.23394

A Novel Cost-Effective MIMO Architecture with Ray Antenna Array for Enhanced Wireless Communication Performance
This paper proposes a novel multi-antenna architecture, termed ray antenna array (RAA), which practically enables flexible beamforming and also enhances wireless communication performance for high frequency systems in a cost-effective manner. RAA consists of a large number of inexpensive antenna elements and a few radio frequency (RF) chains. These antenna elements are arranged in a novel ray like structure, where each ray corresponds to one simple uniform linear array (sULA) with a carefully d…