Saved in:
| Main Authors: | Martin, Noah, Faisal, Abdullah Bin, Eltigani, Hiba, Haroon, Rukhshan, Lamelas, Swaminathan, Dogar, Fahad |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.11857 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards providing reliable job completion time predictions using PCS
by: Faisal, Abdullah Bin, et al.
Published: (2024)
by: Faisal, Abdullah Bin, et al.
Published: (2024)
WANSpec: Leveraging Global Compute Capacity for LLM Inference
by: Martin, Noah, et al.
Published: (2026)
by: Martin, Noah, et al.
Published: (2026)
WaLLM -- Insights from an LLM-Powered Chatbot deployment via WhatsApp
by: Eltigani, Hiba, et al.
Published: (2025)
by: Eltigani, Hiba, et al.
Published: (2025)
RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs
by: Wu, Yongji, et al.
Published: (2025)
by: Wu, Yongji, et al.
Published: (2025)
Adaptive K-PackCache: Cost-Centric Data Caching in Cloud
by: Sarkar, Suvarthi, et al.
Published: (2025)
by: Sarkar, Suvarthi, et al.
Published: (2025)
Accelerating Local LLMs on Resource-Constrained Edge Devices via Distributed Prompt Caching
by: Matsutani, Hiroki, et al.
Published: (2026)
by: Matsutani, Hiroki, et al.
Published: (2026)
ServerlessLoRA: Minimizing Latency and Cost in Serverless Inference for LoRA-Based LLMs
by: Sui, Yifan, et al.
Published: (2025)
by: Sui, Yifan, et al.
Published: (2025)
Revisiting the Time Cost Model of AllReduce
by: Xiong, Dian, et al.
Published: (2024)
by: Xiong, Dian, et al.
Published: (2024)
Dion2: A Simple Method to Shrink Matrix in Muon
by: Ahn, Kwangjun, et al.
Published: (2025)
by: Ahn, Kwangjun, et al.
Published: (2025)
AdvisingWise: Supporting Academic Advising in Higher Education Settings Through a Human-in-the-Loop Multi-Agent Framework
by: Jiang, Wendan, et al.
Published: (2025)
by: Jiang, Wendan, et al.
Published: (2025)
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning
by: Khan, Ahmad Faraz, et al.
Published: (2022)
by: Khan, Ahmad Faraz, et al.
Published: (2022)
Efficient AllReduce with Stragglers
by: Devraj, Arjun, et al.
Published: (2025)
by: Devraj, Arjun, et al.
Published: (2025)
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
by: Zhang, Tinghao, et al.
Published: (2024)
by: Zhang, Tinghao, et al.
Published: (2024)
Multimodal Online Federated Learning with Modality Missing in Internet of Things
by: Wang, Heqiang, et al.
Published: (2025)
by: Wang, Heqiang, et al.
Published: (2025)
CA-AFP: Cluster-Aware Adaptive Federated Pruning
by: Jha, Om Govind, et al.
Published: (2026)
by: Jha, Om Govind, et al.
Published: (2026)
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
by: Yu, Zhongming, et al.
Published: (2024)
by: Yu, Zhongming, et al.
Published: (2024)
Low-Cost Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Reducing Energy Bloat in Large Model Training
by: Chung, Jae-Won, et al.
Published: (2023)
by: Chung, Jae-Won, et al.
Published: (2023)
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
by: Ahmed, Faisal, et al.
Published: (2024)
by: Ahmed, Faisal, et al.
Published: (2024)
Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS
by: Grambow, Martin, et al.
Published: (2023)
by: Grambow, Martin, et al.
Published: (2023)
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles
by: Cha, Narisu, et al.
Published: (2024)
by: Cha, Narisu, et al.
Published: (2024)
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things
by: Wang, Ziheng, et al.
Published: (2024)
by: Wang, Ziheng, et al.
Published: (2024)
Cost-aware Duration Prediction for Software Upgrades in Datacenters
by: Ding, Yi, et al.
Published: (2022)
by: Ding, Yi, et al.
Published: (2022)
DrJAX: Scalable and Differentiable MapReduce Primitives in JAX
by: Rush, Keith, et al.
Published: (2024)
by: Rush, Keith, et al.
Published: (2024)
Reducing Communication for Split Learning by Randomized Top-k Sparsification
by: Zheng, Fei, et al.
Published: (2023)
by: Zheng, Fei, et al.
Published: (2023)
Preble: Efficient Distributed Prompt Scheduling for LLM Serving
by: Srivatsa, Vikranth, et al.
Published: (2024)
by: Srivatsa, Vikranth, et al.
Published: (2024)
Fair Distributed Cooperative Bandit Learning on Networks for Intelligent Internet of Things Systems (Technical Report)
by: Chen, Ziqun, et al.
Published: (2024)
by: Chen, Ziqun, et al.
Published: (2024)
Age-of-Gradient Updates for Federated Learning over Random Access Channels
by: Wu, Yu Heng, et al.
Published: (2024)
by: Wu, Yu Heng, et al.
Published: (2024)
Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization
by: Wang, Chong, et al.
Published: (2026)
by: Wang, Chong, et al.
Published: (2026)
Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
by: Lidin, Joel, et al.
Published: (2026)
by: Lidin, Joel, et al.
Published: (2026)
Speeding up Model Loading with fastsafetensors
by: Yoshimura, Takeshi, et al.
Published: (2025)
by: Yoshimura, Takeshi, et al.
Published: (2025)
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training
by: Jiang, Qisheng, et al.
Published: (2024)
by: Jiang, Qisheng, et al.
Published: (2024)
An All-Reduce Compatible Top-K Compressor for Communication-Efficient Distributed Learning
by: Chen, Chuyan, et al.
Published: (2025)
by: Chen, Chuyan, et al.
Published: (2025)
Mélange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity
by: Griggs, Tyler, et al.
Published: (2024)
by: Griggs, Tyler, et al.
Published: (2024)
Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions
by: Barrak, Amine, et al.
Published: (2025)
by: Barrak, Amine, et al.
Published: (2025)
Cost-Efficient LLM Serving in the Cloud: VM Selection with KV Cache Offloading
by: Kim, Kihyun, et al.
Published: (2025)
by: Kim, Kihyun, et al.
Published: (2025)
Preserving Near-Optimal Gradient Sparsification Cost for Scalable Distributed Deep Learning
by: Yoon, Daegun, et al.
Published: (2024)
by: Yoon, Daegun, et al.
Published: (2024)
Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality
by: Dieguez, Adrian Perez, et al.
Published: (2024)
by: Dieguez, Adrian Perez, et al.
Published: (2024)
Incentivizing Permissionless Distributed Learning of LLMs
by: Lidin, Joel, et al.
Published: (2025)
by: Lidin, Joel, et al.
Published: (2025)
Fault-tolerant Reduce and Allreduce operations based on correction
by: Kuettler, Martin, et al.
Published: (2026)
by: Kuettler, Martin, et al.
Published: (2026)
Similar Items
-
Towards providing reliable job completion time predictions using PCS
by: Faisal, Abdullah Bin, et al.
Published: (2024) -
WANSpec: Leveraging Global Compute Capacity for LLM Inference
by: Martin, Noah, et al.
Published: (2026) -
WaLLM -- Insights from an LLM-Powered Chatbot deployment via WhatsApp
by: Eltigani, Hiba, et al.
Published: (2025) -
RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs
by: Wu, Yongji, et al.
Published: (2025) -
Adaptive K-PackCache: Cost-Centric Data Caching in Cloud
by: Sarkar, Suvarthi, et al.
Published: (2025)