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Papers matching “edge computing” 43

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A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things
2020 Research Square preprint Computer Science IoT and Edge/Fog Computing Open access

Xiaoyu Hao, Ruohai Zhao, Tao Yang, Yulin Hu, Bo Hu, Yuhe Qiu

0

citations
Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications
2025 JuSER (Forschungszentrum Jülich) preprint Computer Science Advanced Neural Network Applications Open access

Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov, Qader Dorosti, Chimezie Eguzo, Sarah Fleitmann, +3 more

0

citations
A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things
2021 Research Square preprint Computer Science IoT and Edge/Fog Computing Open access

Xiaoyu Hao, Ruohai Zhao, Tao Yang, Yulin Hu, Bo Hu, Yuhe Qiu

0

citations
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
2024 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Kenneth Michael Stewart, Sumit Bam Shrestha, Garrick Orchard, Emre Neftci

1

citations
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
2024 Research Square preprint Engineering Advanced Memory and Neural Computing Open access

Kenneth Michael Stewart, Sumit Bam Shrestha, Garrick Orchard, Emre Neftci

0

citations
AutoDiCE: Fully Automated Distributed CNN Inference at the Edge
2022 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Xiaotian Guo, Andy D. Pimentel, Todor P. Stefanov

0

citations
Quantum Technologies and Edge Devices in Electrical Grids: Opportunities, Challenges, and Future Directions
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Marjorie Hoegen, René Glebke, M. Sahnawaz Alam, Alessandro David, Juan Navarro Arenas, Nikolaus Wirtz, +8 more

0

citations
The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge
2022 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Erqian Tang, Xiaotian Guo, Todor P. Stefanov

0

citations
Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
2026 arXiv (Cornell University) preprint Computer Science Distributed Sensor Networks and Detection Algorithms Open access

Paul Zheng, Yao Zhu, Xiaopeng Yuan, Yulin Hu, Anke Schmeink

0

citations
Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection
2022 arXiv (Cornell University) preprint Engineering Vehicular Ad Hoc Networks (VANETs) Open access

Lennart Reiher, Bastian Lampe, Timo Woopen, Raphael van Kempen, Till Beemelmanns, Lutz Eckstein

1

citations
Architecture for Edge-Based Predictive Maintenance of Machines Using Federated Learning and Multi Sensor Platforms
2023 Preprints.org preprint Computer Science Privacy-Preserving Technologies in Data Open access

Gustavo Laydner de Melo Rosa, Praveen Mohanram, André Gilerson, Robert Heinrich Schmitt

4

citations
Quantum search algorithm for similar subgraph identification under fixed edge removal
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Ruben Kara, Sven Danz, Tobias Stollenwerk, Andrea Benigni

0

citations
Graph Exploration with Edge Weight Estimates
2025 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Matthias Gehnen, Ralf Klasing, Émile Naquin

0

citations
Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones
2020 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Yali Wang, Andre H. Deutz, Thomas Bäck, Michael Emmerich

0

citations
Computing Subset Vertex Covers in $H$-Free Graphs
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Nick Brettell, Jelle J. Oostveen, Sukanya Pandey, Daniël Paulusma

0

citations
A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory
2026 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Paul-Philipp Manea, Aishwarya Natarajan, Jim Ignowski, John Paul Strachan, Luca Buonanno

0

citations
GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Jette Oberländer, Jan Finkbeiner, Catherine Mia Schöfmann, Emre Neftci

0

citations
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
2022 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Emre Neftci

2

citations
The Data Act: Start of a New Era for Data Ownership?
2022 SSRN Electronic Journal preprint Social Sciences Digitalization, Law, and Regulation Open access

Simon Geiregat

9

citations
The 2-Attractor Problem is NP-Complete
2023 arXiv (Cornell University) preprint Computer Science Algorithms and Data Compression Open access

Janosch Fuchs

0

citations
Generalized LIMDDs: Succinctness and Canonicity for Decision Diagrams Modulo a Group
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Arend-Jan Quist, Alexis de Colnet, Thomas Reps, Alfons Laarman

0

citations
Detecting weighted hidden cliques
2025 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Karissa Huang, Gábor Lugosi, Nandan Malhotra, Maruf Alam Tarafdar

0

citations
A noise-robust Monte Carlo method for electric field calculations in EMC3
2025 arXiv (Cornell University) preprint Physics and Astronomy Magnetic confinement fusion research Open access

William De Deyn, Ruben De Wolf, Vince Maes, Giovanni Samaey

0

citations
On Signal Peak Power Constraint of Over-the-Air Federated Learning
2025 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Lorenz Bielefeld, Paul Zheng, Oner Hanay, Yao Zhu, Yulin Hu, Anke Schmeink

0

citations
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

0

citations