:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Peijun, Yang, Ning, Tian, Baoliang, Wei, Jiayu, Zhang, Weihao, Zhang, Haijun, Lv, Pin
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Distributed, Parallel, and Cluster Computing Machine Learning Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2510.02345
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HydroFusion-LMF: Semi-Supervised Multi-Network Fusion with Large-Model Adaptation for Long-Term Daily Runoff Forecasting
by: Fan, Qianfei, et al.
Published: (2025)

SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training
by: Wu, Kun, et al.
Published: (2024)

D-CODE: Data Colony Optimization for Dynamic Network Efficiency
by: Pandey, Tannu, et al.
Published: (2024)

A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms
by: Harada, Tomohiro
Published: (2021)

Code generation and runtime techniques for enabling data-efficient deep learning training on GPUs
by: Wu, Kun
Published: (2024)

Neuromorphic Simulation of Drosophila Melanogaster Brain Connectome on Loihi 2
by: Wang, Felix, et al.
Published: (2025)

A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms
by: Harada, Tomohiro, et al.
Published: (2021)

Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog Architectures
by: Guerrero, Carlos, et al.
Published: (2025)

Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks
by: Lin, Ruhai, et al.
Published: (2024)

Trackable Agent-based Evolution Models at Wafer Scale
by: Moreno, Matthew Andres, et al.
Published: (2024)

Trackable Island-model Genetic Algorithms at Wafer Scale
by: Moreno, Matthew Andres, et al.
Published: (2024)

Sparse Spiking Neural-like Membrane Systems on Graphics Processing Units
by: Hernández-Tello, Javier, et al.
Published: (2024)

Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
by: Aimone, James B
Published: (2025)

HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
by: Frank, Gwenevere, et al.
Published: (2025)

Neuromorphic hardware for sustainable AI data centers
by: Vogginger, Bernhard, et al.
Published: (2024)

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
by: Dutta, Siddhant, et al.
Published: (2024)

phys-MCP: A Control Plane for Heterogeneous Physical Neural Networks
by: Fischer, Stefan, et al.
Published: (2026)

GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection
by: Khatoonabadi, SayedHassan, et al.
Published: (2021)

The AI Shadow War: SaaS vs. Edge Computing Architectures
by: Marpu, Rhea Pritham, et al.
Published: (2025)

A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing
by: Sliwko, Leszek
Published: (2025)

Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks
by: Serpen, Gursel
Published: (2025)

NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
by: Hafiz, Muhammad Ihsan Al, et al.
Published: (2026)

MAC-DO: An Efficient Output-Stationary GEMM Accelerator for CNNs Using DRAM Technology
by: Jeong, Minki, et al.
Published: (2022)

Asynchronous Evolution of Deep Neural Network Architectures
by: Liang, Jason, et al.
Published: (2023)

Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization
by: Guerrero, Carlos, et al.
Published: (2024)

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
by: Yang, Liu, et al.
Published: (2026)

OpenRASE: Service Function Chain Emulation
by: Krishnamohan, Theviyanthan, et al.
Published: (2025)

Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum
by: Ullah, Amjad, et al.
Published: (2025)

Edge Intelligence with Spiking Neural Networks
by: Deng, Shuiguang, et al.
Published: (2025)

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
by: Golosio, Bruno, et al.
Published: (2025)

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization
by: Sun, Yunrui, et al.
Published: (2024)

Comparison of Microservice Call Rate Predictions for Replication in the Cloud
by: Mehran, Narges, et al.
Published: (2023)

Linear Reservoir: A Diagonalization-Based Optimization
by: de Coudenhove, Romain, et al.
Published: (2026)

Cyclic Data Parallelism for Efficient Parallelism of Deep Neural Networks
by: Fournier, Louis, et al.
Published: (2024)

Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network
by: Hajizada, Elvin, et al.
Published: (2025)

NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator
by: Shivdikar, Kaustubh, et al.
Published: (2024)

All-to-all reconfigurability with sparse and higher-order Ising machines
by: Nikhar, Srijan, et al.
Published: (2023)

Man-Made Heuristics Are Dead. Long Live Code Generators!
by: Dwivedula, Rohit, et al.
Published: (2025)

When Federated Learning Meets Quantum Computing: Survey and Research Opportunities
by: Mathur, Aakar, et al.
Published: (2025)

Zeroing neural dynamics solving time-variant complex conjugate matrix equation $X(τ)F(τ)-A(τ)\overline{X}(τ)=C(τ)$
by: He, Jiakuang, et al.
Published: (2024)