Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time
Fuente:
arXiv
Saved in:
| Main Authors: | Nan, Zhaojun, Han, Yunchu, Zhou, Sheng, Niu, Zhisheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning
by: Yan, Jintao, et al.
Published: (2024)
by: Yan, Jintao, et al.
Published: (2024)
SLO-Aware Compute Resource Allocation for Prefill-Decode Disaggregated LLM Inference
by: Li, Luchang, et al.
Published: (2026)
by: Li, Luchang, et al.
Published: (2026)
Learning the Optimal Path and DNN Partition for Collaborative Edge Inference
by: Huang, Yin, et al.
Published: (2024)
by: Huang, Yin, et al.
Published: (2024)
FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
by: Bai, Yuxuan, et al.
Published: (2025)
by: Bai, Yuxuan, et al.
Published: (2025)
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
by: Yu, Lu, et al.
Published: (2024)
by: Yu, Lu, et al.
Published: (2024)
Joint Optimization of Offloading, Batching and DVFS for Multiuser Co-Inference
by: Xu, Yaodan, et al.
Published: (2025)
by: Xu, Yaodan, et al.
Published: (2025)
Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing
by: Tegin, Busra, et al.
Published: (2025)
by: Tegin, Busra, et al.
Published: (2025)
Robust Regression with Ensembles Communicating over Noisy Channels
by: Ben-Hur, Yuval, et al.
Published: (2024)
by: Ben-Hur, Yuval, et al.
Published: (2024)
SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services
by: Xu, Yaodan, et al.
Published: (2025)
by: Xu, Yaodan, et al.
Published: (2025)
Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
by: Lyu, Zhonghao, et al.
Published: (2024)
by: Lyu, Zhonghao, et al.
Published: (2024)
One Pool, Two Caches: Adaptive HBM Partitioning for Accelerating Generative Recommender Serving
by: Yu, Wenjun, et al.
Published: (2026)
by: Yu, Wenjun, et al.
Published: (2026)
Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning
by: Xia, Yue, et al.
Published: (2025)
by: Xia, Yue, et al.
Published: (2025)
Practical Performance Guarantees for Pipelined DNN Inference
by: Archer, Aaron, et al.
Published: (2023)
by: Archer, Aaron, et al.
Published: (2023)
Timeliness-Oriented Scheduling and Resource Allocation in Multi-Region Collaborative Perception
by: Zhu, Mengmeng, et al.
Published: (2026)
by: Zhu, Mengmeng, et al.
Published: (2026)
HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms
by: Taufique, Zain, et al.
Published: (2024)
by: Taufique, Zain, et al.
Published: (2024)
A Survey on Collaborative DNN Inference for Edge Intelligence
by: Ren, Weiqing, et al.
Published: (2022)
by: Ren, Weiqing, et al.
Published: (2022)
Joint Offloading and Resource Allocation for Hybrid Cloud and Edge Computing in SAGINs: A Decision Assisted Hybrid Action Space Deep Reinforcement Learning Approach
by: Huang, Chong, et al.
Published: (2024)
by: Huang, Chong, et al.
Published: (2024)
Double-Edge-Assisted Computation Offloading and Resource Allocation for Space-Air-Marine Integrated Networks
by: Wang, Zhen, et al.
Published: (2025)
by: Wang, Zhen, et al.
Published: (2025)
Digital Twin-Assisted In-Network and Edge Collaboration for Joint User Association, Task Offloading, and Resource Allocation in the Metaverse
by: Aliyu, Ibrahim, et al.
Published: (2026)
by: Aliyu, Ibrahim, et al.
Published: (2026)
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads
by: Panopoulos, Ioannis, et al.
Published: (2024)
by: Panopoulos, Ioannis, et al.
Published: (2024)
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
by: Moradi, Parsa, et al.
Published: (2024)
by: Moradi, Parsa, et al.
Published: (2024)
Closing the Generalization Gap in Parameter-efficient Federated Edge Learning
by: Du, Xinnong, et al.
Published: (2025)
by: Du, Xinnong, et al.
Published: (2025)
CAFe: Cost and Age aware Federated Learning
by: Liyanaarachchi, Sahan, et al.
Published: (2024)
by: Liyanaarachchi, Sahan, et al.
Published: (2024)
Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning
by: Xia, Yue, et al.
Published: (2025)
by: Xia, Yue, et al.
Published: (2025)
Optimal Compression of Unit Norm Vectors in the High Distortion Regime
by: Zhu, Heng, et al.
Published: (2023)
by: Zhu, Heng, et al.
Published: (2023)
Learning from Acceptance: Cumulative Regret in the Game of Coding
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2026)
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2026)
Hierarchical Federated Learning with SignSGD: A Highly Communication-Efficient Approach
by: Kazemi, Amirreza, et al.
Published: (2026)
by: Kazemi, Amirreza, et al.
Published: (2026)
BICompFL: Stochastic Federated Learning with Bi-Directional Compression
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
Out-of-Air Computation: Enabling Structured Extraction from Wireless Superposition
by: Azimi-Abarghouyi, Seyed Mohammad
Published: (2026)
by: Azimi-Abarghouyi, Seyed Mohammad
Published: (2026)
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
Personalized Federated Learning for Generative AI-Assisted Semantic Communications
by: Peng, Yubo, et al.
Published: (2024)
by: Peng, Yubo, et al.
Published: (2024)
NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systems
by: Moradi, Parsa, et al.
Published: (2024)
by: Moradi, Parsa, et al.
Published: (2024)
The Entrapment Problem in Random Walk Decentralized Learning
by: Liu, Zonghong, et al.
Published: (2024)
by: Liu, Zonghong, et al.
Published: (2024)
Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2026)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2026)
Decentralized Federated Learning Over Imperfect Communication Channels
by: Li, Weicai, et al.
Published: (2024)
by: Li, Weicai, et al.
Published: (2024)
Scalable and Reliable Over-the-Air Federated Edge Learning
by: Egger, Maximilian, et al.
Published: (2024)
by: Egger, Maximilian, et al.
Published: (2024)
LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
by: Bostandoost, Roozbeh, et al.
Published: (2024)
by: Bostandoost, Roozbeh, et al.
Published: (2024)
FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning
by: Chen, Tan, et al.
Published: (2025)
by: Chen, Tan, et al.
Published: (2025)
Minimax Optimal Algorithms with Fixed-$k$-Nearest Neighbors
by: Ryu, J. Jon, et al.
Published: (2022)
by: Ryu, J. Jon, et al.
Published: (2022)
On the Extension of Private Distributed Matrix Multiplication Schemes to the Grid Partition
by: Hofmeister, Christoph, et al.
Published: (2026)
by: Hofmeister, Christoph, et al.
Published: (2026)
Similar Items
-
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning
by: Yan, Jintao, et al.
Published: (2024) -
SLO-Aware Compute Resource Allocation for Prefill-Decode Disaggregated LLM Inference
by: Li, Luchang, et al.
Published: (2026) -
Learning the Optimal Path and DNN Partition for Collaborative Edge Inference
by: Huang, Yin, et al.
Published: (2024) -
FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
by: Bai, Yuxuan, et al.
Published: (2025) -
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
by: Yu, Lu, et al.
Published: (2024)