Denial of Deadline: Network-Driven Accuracy Collapse in Distributed Inference Pipelines
Jhonatan Tavori, Gur-Eyal Sela, Ion Stoica, Gil Zussman
cs.NI, cs.AI, cs.CR, cs.DC
Submitted: 2026-07-27
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- YOLOX: Exceeding YOLO Series in 2021
- AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge
- DeDelayed: Deleting Remote Inference Delay via On-Device Correction
- RouteLLM: Learning to Route LLMs with Preference Data
- Leveraging Cloud Computing to Make Autonomous Vehicles Safer
- Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-and-Language Navigation
- Language-Conditioned Robotic Manipulation with Fast and Slow Thinking
Related papers
- HiFiNet: Hierarchical Fault Identification in Wireless Sensor Networks via Edge-Based Classification and Graph Aggregation
- PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
- TraceCodec: A Compiler-Backed Neural Codec for Network Traffic Traces
- Embodied AI in 6G Networks: From Intelligent Connectivity to Physical Intelligence
- Lightweight GenAI for Network Traffic Generation: Fidelity, Augmentation, and Classification
- NVIDIA Spectrum-X: Hardware-Accelerated Multiplane Networking for Large-Scale AI Training