KAITIAN: A Unified Communication Framework for Enabling Efficient Collaboration Across Heterogeneous Accelerators in Embodied AI Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Jieke, Wang, Wanyu, Yin, Longxiang, Han, Yinhe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mind the Gap: Revealing Inconsistencies Across Heterogeneous AI Accelerators
by: Wen, Elliott, et al.
Published: (2025)
by: Wen, Elliott, et al.
Published: (2025)
Efficient and Scalable Agentic AI with Heterogeneous Systems
by: Asgar, Zain, et al.
Published: (2025)
by: Asgar, Zain, et al.
Published: (2025)
Efficient Unified Caching for Accelerating Heterogeneous AI Workloads
by: Wang, Tianze, et al.
Published: (2025)
by: Wang, Tianze, et al.
Published: (2025)
Towards Resource-Efficient Compound AI Systems
by: Chaudhry, Gohar Irfan, et al.
Published: (2025)
by: Chaudhry, Gohar Irfan, et al.
Published: (2025)
ECCENTRIC: Edge-Cloud Collaboration Framework for Distributed Inference Using Knowledge Adaptation
by: Kamani, Mohammad Mahdi, et al.
Published: (2025)
by: Kamani, Mohammad Mahdi, et al.
Published: (2025)
A Scheduling Framework for Efficient MoE Inference on Edge GPU-NDP Systems
by: Wu, Qi, et al.
Published: (2026)
by: Wu, Qi, et al.
Published: (2026)
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
by: S, Sarang, et al.
Published: (2025)
by: S, Sarang, et al.
Published: (2025)
AEG: A Baremetal Framework for AI Acceleration via Direct Hardware Access in Heterogeneous Accelerators
by: Jiang, Hua, et al.
Published: (2026)
by: Jiang, Hua, et al.
Published: (2026)
LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data
by: Zhang, Yuxin, et al.
Published: (2025)
by: Zhang, Yuxin, et al.
Published: (2025)
LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving Infrastructure
by: Cho, Jaehong, et al.
Published: (2026)
by: Cho, Jaehong, et al.
Published: (2026)
Trade-offs in Decentralized Agentic AI Discovery Across the Compute Continuum
by: Dazzi, Patrizio, et al.
Published: (2026)
by: Dazzi, Patrizio, et al.
Published: (2026)
LLMServingSim2.0: A Unified Simulator for Heterogeneous Hardware and Serving Techniques in LLM Infrastructure
by: Cho, Jaehong, et al.
Published: (2025)
by: Cho, Jaehong, et al.
Published: (2025)
An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Using Edge Intelligence
by: Liu, Yichen, et al.
Published: (2026)
by: Liu, Yichen, et al.
Published: (2026)
HETHUB: A Distributed Training System with Heterogeneous Cluster for Large-Scale Models
by: Xu, Si, et al.
Published: (2024)
by: Xu, Si, et al.
Published: (2024)
An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU
by: Yang, Ruijia, et al.
Published: (2026)
by: Yang, Ruijia, et al.
Published: (2026)
TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training
by: Liu, Man, et al.
Published: (2026)
by: Liu, Man, et al.
Published: (2026)
TriMoE: Augmenting GPU with AMX-Enabled CPU and DIMM-NDP for High-Throughput MoE Inference via Offloading
by: Pan, Yudong, et al.
Published: (2026)
by: Pan, Yudong, et al.
Published: (2026)
Astra: Efficient and Money-saving Automatic Parallel Strategies Search on Heterogeneous GPUs
by: Wang, Peiran, et al.
Published: (2025)
by: Wang, Peiran, et al.
Published: (2025)
Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference
by: Li, Rongzhi, et al.
Published: (2025)
by: Li, Rongzhi, et al.
Published: (2025)
Cooperative Cognitive Dynamic System in UAV Swarms: Reconfigurable Mechanism and Framework
by: Jia, Ziye, et al.
Published: (2024)
by: Jia, Ziye, et al.
Published: (2024)
Accelerated Digital Twin Learning for Edge AI: A Comparison of FPGA and Mobile GPU
by: Xu, Bin, et al.
Published: (2025)
by: Xu, Bin, et al.
Published: (2025)
Keep Your Friends Close: Leveraging Affinity Groups to Accelerate AI Inference Workflows
by: Garrett, Thiago, et al.
Published: (2023)
by: Garrett, Thiago, et al.
Published: (2023)
Transforming Future Data Center Operations and Management via Physical AI
by: Cao, Zhiwei, et al.
Published: (2025)
by: Cao, Zhiwei, et al.
Published: (2025)
MSCCL++: Rethinking GPU Communication Abstractions for AI Inference
by: Hwang, Changho, et al.
Published: (2025)
by: Hwang, Changho, et al.
Published: (2025)
DynaKV: Enabling Accurate and Efficient Long-Sequence LLM Decoding on Smartphones
by: Wang, Tuowei, et al.
Published: (2025)
by: Wang, Tuowei, et al.
Published: (2025)
Accelerating Latency-Critical Applications with AI-Powered Semi-Automatic Fine-Grained Parallelization on SMT Processors
by: Los, Denis, et al.
Published: (2025)
by: Los, Denis, et al.
Published: (2025)
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
by: Zhang, Yuxin, et al.
Published: (2024)
by: Zhang, Yuxin, et al.
Published: (2024)
Thousand-GPU Large-Scale Training and Optimization Recipe for AI-Native Cloud Embodied Intelligence Infrastructure
by: Guo, Yongjian, et al.
Published: (2026)
by: Guo, Yongjian, et al.
Published: (2026)
AdaPtis: Reducing Pipeline Bubbles with Adaptive Pipeline Parallelism on Heterogeneous Models
by: Guo, Jihu, et al.
Published: (2025)
by: Guo, Jihu, et al.
Published: (2025)
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
by: Zhang, Jianqing, et al.
Published: (2024)
by: Zhang, Jianqing, et al.
Published: (2024)
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
by: Liang, Feng, et al.
Published: (2024)
by: Liang, Feng, et al.
Published: (2024)
Byzantine-Robust and Communication-Efficient Distributed Training: Compressive and Cyclic Gradient Coding
by: Li, Chengxi, et al.
Published: (2026)
by: Li, Chengxi, et al.
Published: (2026)
ScaleAcross Explorer: Exploring Communication Optimization for Scale-Across AI Model Training
by: Li, Minghao, et al.
Published: (2026)
by: Li, Minghao, et al.
Published: (2026)
FlashCommunication V2: Bit Splitting and Spike Reserving for Any Bit Communication
by: Li, Qingyuan, et al.
Published: (2025)
by: Li, Qingyuan, et al.
Published: (2025)
iOS as Acceleration
by: Chen, Alexander K.
Published: (2025)
by: Chen, Alexander K.
Published: (2025)
Act While Thinking: Accelerating LLM Agents via Pattern-Aware Speculative Tool Execution
by: Sui, Yifan, et al.
Published: (2026)
by: Sui, Yifan, et al.
Published: (2026)
Mesh-Attention: A New Communication-Efficient Distributed Attention with Improved Data Locality
by: Chen, Sirui, et al.
Published: (2025)
by: Chen, Sirui, et al.
Published: (2025)
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
by: Lin, Zheng, et al.
Published: (2025)
by: Lin, Zheng, et al.
Published: (2025)
Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator
by: Peccia, Federico Nicolas, et al.
Published: (2024)
by: Peccia, Federico Nicolas, et al.
Published: (2024)
Domain-Adaptive Model Merging Across Disconnected Modes
by: Liu, Junming, et al.
Published: (2026)
by: Liu, Junming, et al.
Published: (2026)
Similar Items
-
Mind the Gap: Revealing Inconsistencies Across Heterogeneous AI Accelerators
by: Wen, Elliott, et al.
Published: (2025) -
Efficient and Scalable Agentic AI with Heterogeneous Systems
by: Asgar, Zain, et al.
Published: (2025) -
Efficient Unified Caching for Accelerating Heterogeneous AI Workloads
by: Wang, Tianze, et al.
Published: (2025) -
Towards Resource-Efficient Compound AI Systems
by: Chaudhry, Gohar Irfan, et al.
Published: (2025) -
ECCENTRIC: Edge-Cloud Collaboration Framework for Distributed Inference Using Knowledge Adaptation
by: Kamani, Mohammad Mahdi, et al.
Published: (2025)