Uncertainty-Aware Decarbonization for Datacenters
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Amy, Liu, Sihang, Ding, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cost-aware Duration Prediction for Software Upgrades in Datacenters
by: Ding, Yi, et al.
Published: (2022)
by: Ding, Yi, et al.
Published: (2022)
Towards Sustainable Large Language Model Serving
by: Nguyen, Sophia, et al.
Published: (2024)
by: Nguyen, Sophia, et al.
Published: (2024)
Characterization of Large Language Model Development in the Datacenter
by: Hu, Qinghao, et al.
Published: (2024)
by: Hu, Qinghao, et al.
Published: (2024)
MARLIN: Multi-Agent Game-Theoretic Reinforcement Learning for Sustainable LLM Inference in Cloud Datacenters
by: Moore, H., et al.
Published: (2026)
by: Moore, H., et al.
Published: (2026)
OpenG2G: A Simulation Platform for AI Datacenter-Grid Runtime Coordination
by: Chung, Jae-Won, et al.
Published: (2026)
by: Chung, Jae-Won, et al.
Published: (2026)
Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters
by: Moore, Hayden, et al.
Published: (2025)
by: Moore, Hayden, et al.
Published: (2025)
Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning
by: Wang, Yujia, et al.
Published: (2025)
by: Wang, Yujia, et al.
Published: (2025)
HybridEP: Scaling Expert Parallelism to Cross-Datacenter Scenario via Hybrid Expert/Data Transmission
by: Yang, Weihao, et al.
Published: (2025)
by: Yang, Weihao, et al.
Published: (2025)
Stabilizing Decentralized Federated Fine-Tuning via Topology-Aware Alternating LoRA
by: Wang, Xiaoyu, et al.
Published: (2026)
by: Wang, Xiaoyu, et al.
Published: (2026)
ChunkFlow: Communication-Aware Chunked Prefetching for Layerwise Offloading in Distributed Diffusion Transformer Inference
by: Meng, Han, et al.
Published: (2026)
by: Meng, Han, et al.
Published: (2026)
Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving
by: Tian, Yuyang, et al.
Published: (2025)
by: Tian, Yuyang, et al.
Published: (2025)
Priority-Aware Model-Distributed Inference at Edge Networks
by: Li, Teng, et al.
Published: (2024)
by: Li, Teng, et al.
Published: (2024)
Not All Tokens Are Worth Caching: Learning Semantic-Aware Eviction for LLM Prefix Caches
by: Fang, Shaoke, et al.
Published: (2026)
by: Fang, Shaoke, et al.
Published: (2026)
Uncertainty-Aware Explainable Federated Learning
by: Zhang, Yanci, et al.
Published: (2025)
by: Zhang, Yanci, et al.
Published: (2025)
Venn: Resource Management for Collaborative Learning Jobs
by: Liu, Jiachen, et al.
Published: (2023)
by: Liu, Jiachen, et al.
Published: (2023)
Datacenter Energy Optimized Power Profiles
by: Narayanaswamy, Sreedhar, et al.
Published: (2025)
by: Narayanaswamy, Sreedhar, et al.
Published: (2025)
Knowledge-Aware Evolution for Streaming Federated Continual Learning with Category Overlap and without Task Identifiers
by: Tan, Sixing, et al.
Published: (2026)
by: Tan, Sixing, et al.
Published: (2026)
Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients
by: Wu, Tian-Shuang, et al.
Published: (2026)
by: Wu, Tian-Shuang, et al.
Published: (2026)
FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
by: Li, Yijiang, et al.
Published: (2026)
by: Li, Yijiang, et al.
Published: (2026)
TP-Aware Dequantization
by: Hoque, Adnan, et al.
Published: (2024)
by: Hoque, Adnan, et al.
Published: (2024)
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation
by: Zhan, Ziwei, et al.
Published: (2024)
by: Zhan, Ziwei, et al.
Published: (2024)
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering
by: Liu, Changxin, et al.
Published: (2024)
by: Liu, Changxin, et al.
Published: (2024)
Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness
by: Li, Boyuan, et al.
Published: (2024)
by: Li, Boyuan, et al.
Published: (2024)
Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting
by: Li, Yi, et al.
Published: (2026)
by: Li, Yi, et al.
Published: (2026)
Serving Compound Inference Systems on Datacenter GPUs
by: Devata, Sriram, et al.
Published: (2026)
by: Devata, Sriram, et al.
Published: (2026)
pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning
by: Yi, Liping, et al.
Published: (2023)
by: Yi, Liping, et al.
Published: (2023)
SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models
by: Du, Zhixu, et al.
Published: (2023)
by: Du, Zhixu, et al.
Published: (2023)
Capsule: Efficient Player Isolation for Datacenters
by: Du, Zhouheng, et al.
Published: (2025)
by: Du, Zhouheng, et al.
Published: (2025)
Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation
by: Liu, Banruo, et al.
Published: (2024)
by: Liu, Banruo, et al.
Published: (2024)
SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning
by: Li, Nan, et al.
Published: (2025)
by: Li, Nan, et al.
Published: (2025)
DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCs
by: Zhu, Zeyu, et al.
Published: (2026)
by: Zhu, Zeyu, et al.
Published: (2026)
Federated Model Heterogeneous Matryoshka Representation Learning
by: Yi, Liping, et al.
Published: (2024)
by: Yi, Liping, et al.
Published: (2024)
InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers
by: Shou, Chenchen, et al.
Published: (2025)
by: Shou, Chenchen, et al.
Published: (2025)
Dependency Aware Incident Linking in Large Cloud Systems
by: Ghosh, Supriyo, et al.
Published: (2024)
by: Ghosh, Supriyo, et al.
Published: (2024)
Energy-Aware Decentralized Learning with Intermittent Model Training
by: Dhasade, Akash, et al.
Published: (2024)
by: Dhasade, Akash, et al.
Published: (2024)
Drift-Aware Federated Learning: A Causal Perspective
by: Fang, Yunjie, et al.
Published: (2025)
by: Fang, Yunjie, et al.
Published: (2025)
Exploring Selective Layer Fine-Tuning in Federated Learning
by: Sun, Yuchang, et al.
Published: (2024)
by: Sun, Yuchang, et al.
Published: (2024)
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
by: Yang, Mengwei, et al.
Published: (2024)
by: Yang, Mengwei, et al.
Published: (2024)
ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference
by: Oh, Hyungjun, et al.
Published: (2024)
by: Oh, Hyungjun, et al.
Published: (2024)
Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning
by: Balivada, Nihal, et al.
Published: (2026)
by: Balivada, Nihal, et al.
Published: (2026)
Similar Items
-
Cost-aware Duration Prediction for Software Upgrades in Datacenters
by: Ding, Yi, et al.
Published: (2022) -
Towards Sustainable Large Language Model Serving
by: Nguyen, Sophia, et al.
Published: (2024) -
Characterization of Large Language Model Development in the Datacenter
by: Hu, Qinghao, et al.
Published: (2024) -
MARLIN: Multi-Agent Game-Theoretic Reinforcement Learning for Sustainable LLM Inference in Cloud Datacenters
by: Moore, H., et al.
Published: (2026) -
OpenG2G: A Simulation Platform for AI Datacenter-Grid Runtime Coordination
by: Chung, Jae-Won, et al.
Published: (2026)