UnifiedNN: Efficient Neural Network Training on the Cloud
Fuente:
arXiv
Saved in:
| Main Authors: | Taki, Sifat Ut, Padmanabhan, Arthi, Mastorakis, Spyridon |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge
by: Taki, Sifat Ut, et al.
Published: (2024)
by: Taki, Sifat Ut, et al.
Published: (2024)
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
by: Taki, Sifat Ut, et al.
Published: (2024)
by: Taki, Sifat Ut, et al.
Published: (2024)
SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space
by: Huang, Zitong, et al.
Published: (2025)
by: Huang, Zitong, et al.
Published: (2025)
Random-Set Neural Networks (RS-NN)
by: Manchingal, Shireen Kudukkil, et al.
Published: (2023)
by: Manchingal, Shireen Kudukkil, et al.
Published: (2023)
Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
by: Islam, Md Ruman, et al.
Published: (2024)
by: Islam, Md Ruman, et al.
Published: (2024)
Approximating Matrix Functions with Deep Neural Networks and Transformers
by: Padmanabhan, Rahul, et al.
Published: (2026)
by: Padmanabhan, Rahul, et al.
Published: (2026)
SemShareKV: Efficient KVCache Sharing for Semantically Similar Prompts via Token-Level LSH Matching
by: Zhao, Xinye, et al.
Published: (2025)
by: Zhao, Xinye, et al.
Published: (2025)
uGMM-NN: Univariate Gaussian Mixture Model Neural Network
by: Ali, Zakeria Sharif
Published: (2025)
by: Ali, Zakeria Sharif
Published: (2025)
On the Role of Hidden States of Modern Hopfield Network in Transformer
by: Masumura, Tsubasa, et al.
Published: (2025)
by: Masumura, Tsubasa, et al.
Published: (2025)
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training
by: Xu, Rongwu, et al.
Published: (2024)
by: Xu, Rongwu, et al.
Published: (2024)
Drug Interaction Vectors Neural Network: DrIVeNN
by: Wang, Natalie, et al.
Published: (2023)
by: Wang, Natalie, et al.
Published: (2023)
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
by: Raptis, Spyridon, et al.
Published: (2025)
by: Raptis, Spyridon, et al.
Published: (2025)
Efficient Training of Probabilistic Neural Networks for Survival Analysis
by: Lillelund, Christian Marius, et al.
Published: (2024)
by: Lillelund, Christian Marius, et al.
Published: (2024)
A Stable Whitening Optimizer for Efficient Neural Network Training
by: Frans, Kevin, et al.
Published: (2025)
by: Frans, Kevin, et al.
Published: (2025)
Depth-Aware Initialization for Stable and Efficient Neural Network Training
by: Pandey, Vijay
Published: (2025)
by: Pandey, Vijay
Published: (2025)
Automated Evolutionary Optimization for Resource-Efficient Neural Network Training
by: Revin, Ilia, et al.
Published: (2025)
by: Revin, Ilia, et al.
Published: (2025)
Dynamic Rank Adjustment for Accurate and Efficient Neural Network Training
by: Shin, Hyuntak, et al.
Published: (2025)
by: Shin, Hyuntak, et al.
Published: (2025)
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI
by: Barua, Saikat, et al.
Published: (2023)
by: Barua, Saikat, et al.
Published: (2023)
STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud
by: Kundu, Satwik, et al.
Published: (2024)
by: Kundu, Satwik, et al.
Published: (2024)
Spectral-factorized Positive-definite Curvature Learning for NN Training
by: Lin, Wu, et al.
Published: (2025)
by: Lin, Wu, et al.
Published: (2025)
Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN)
by: Batley, Reza T., et al.
Published: (2025)
by: Batley, Reza T., et al.
Published: (2025)
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
by: Gal, Eshed, et al.
Published: (2025)
by: Gal, Eshed, et al.
Published: (2025)
CPT: Efficient Deep Neural Network Training via Cyclic Precision
by: Fu, Yonggan, et al.
Published: (2021)
by: Fu, Yonggan, et al.
Published: (2021)
Dynamic Spectral Backpropagation for Efficient Neural Network Training
by: Muthuraman, Mannmohan
Published: (2025)
by: Muthuraman, Mannmohan
Published: (2025)
I Know What You Did Last Summer: Identifying VR User Activity Through VR Network Traffic
by: Muhaimin, Sheikh Samit, et al.
Published: (2025)
by: Muhaimin, Sheikh Samit, et al.
Published: (2025)
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
by: Yazdani-Jahromi, Mehdi, et al.
Published: (2024)
by: Yazdani-Jahromi, Mehdi, et al.
Published: (2024)
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data
by: Elabid, Zakaria, et al.
Published: (2024)
by: Elabid, Zakaria, et al.
Published: (2024)
DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data
by: Krausse, Jann, et al.
Published: (2026)
by: Krausse, Jann, et al.
Published: (2026)
On the Dataless Training of Neural Networks
by: Velasquez, Alvaro, et al.
Published: (2025)
by: Velasquez, Alvaro, et al.
Published: (2025)
Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics
by: Syntakas, Spyridon, et al.
Published: (2024)
by: Syntakas, Spyridon, et al.
Published: (2024)
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
by: Boutet, Antoine, et al.
Published: (2021)
by: Boutet, Antoine, et al.
Published: (2021)
Delay Neural Networks (DeNN) for exploiting temporal information in event-based datasets
by: Gattepaille, Alban, et al.
Published: (2025)
by: Gattepaille, Alban, et al.
Published: (2025)
AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks
by: Tenison, Irene, et al.
Published: (2025)
by: Tenison, Irene, et al.
Published: (2025)
Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training
by: Fang, Wenzhi, et al.
Published: (2025)
by: Fang, Wenzhi, et al.
Published: (2025)
Deduplicator: When Computation Reuse Meets Load Balancing at the Network Edge
by: Azad, Md Washik Al, et al.
Published: (2024)
by: Azad, Md Washik Al, et al.
Published: (2024)
Random Cloud: Finding Minimal Neural Architectures Without Training
by: Blázquez, Javier Gil
Published: (2026)
by: Blázquez, Javier Gil
Published: (2026)
A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection
by: Worae, Daniel Adu, et al.
Published: (2024)
by: Worae, Daniel Adu, et al.
Published: (2024)
Multiscale Training of Convolutional Neural Networks
by: Ahamed, Shadab, et al.
Published: (2025)
by: Ahamed, Shadab, et al.
Published: (2025)
Benchmarking Neural Network Training Algorithms
by: Dahl, George E., et al.
Published: (2023)
by: Dahl, George E., et al.
Published: (2023)
Training Neural Networks at Any Scale
by: Pethick, Thomas, et al.
Published: (2025)
by: Pethick, Thomas, et al.
Published: (2025)
Similar Items
-
FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge
by: Taki, Sifat Ut, et al.
Published: (2024) -
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
by: Taki, Sifat Ut, et al.
Published: (2024) -
SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space
by: Huang, Zitong, et al.
Published: (2025) -
Random-Set Neural Networks (RS-NN)
by: Manchingal, Shireen Kudukkil, et al.
Published: (2023) -
Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
by: Islam, Md Ruman, et al.
Published: (2024)