Megha: Decentralized Global Fair Scheduling for Federated Clusters
Fuente:
arXiv
Saved in:
| Main Authors: | Thiyyakat, Meghana, Kalambur, Subramaniam, Sitaram, Dinkar |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Eventually-Consistent Federated Scheduling for Data Center Workloads
by: Thiyyakat, Meghana, et al.
Published: (2023)
by: Thiyyakat, Meghana, et al.
Published: (2023)
Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning
by: Hamood, Moqbel, et al.
Published: (2024)
by: Hamood, Moqbel, et al.
Published: (2024)
Scheduling for On-Board Federated Learning with Satellite Clusters
by: Razmi, Nasrin, et al.
Published: (2024)
by: Razmi, Nasrin, et al.
Published: (2024)
Decentralized Federated Averaging via Random Walk
by: Wang, Changheng, et al.
Published: (2025)
by: Wang, Changheng, et al.
Published: (2025)
A Decentralized Microservice Scheduling Approach Using Service Mesh in Cloud-Edge Systems
by: Wen, Yangyang, et al.
Published: (2025)
by: Wen, Yangyang, et al.
Published: (2025)
Eva: Cost-Efficient Cloud-Based Cluster Scheduling
by: Chang, Tzu-Tao, et al.
Published: (2025)
by: Chang, Tzu-Tao, et al.
Published: (2025)
Fair Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUs
by: He, Xuan, et al.
Published: (2025)
by: He, Xuan, et al.
Published: (2025)
Evaluation Framework for Centralized and Decentralized Aggregation Algorithm in Federated Systems
by: Chongder, Sumit
Published: (2025)
by: Chongder, Sumit
Published: (2025)
Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning
by: Nguyen, Huong, et al.
Published: (2025)
by: Nguyen, Huong, et al.
Published: (2025)
Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters
by: Mo, Zizhao, et al.
Published: (2024)
by: Mo, Zizhao, et al.
Published: (2024)
Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling
by: Zhang, Xinyi, et al.
Published: (2024)
by: Zhang, Xinyi, et al.
Published: (2024)
WWW.Serve: Interconnecting Global LLM Services through Decentralization
by: Wang, Huanyu, et al.
Published: (2026)
by: Wang, Huanyu, et al.
Published: (2026)
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling
by: Zhao, Xiyu, et al.
Published: (2025)
by: Zhao, Xiyu, et al.
Published: (2025)
SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT
by: Ali-Pour, Amir, et al.
Published: (2025)
by: Ali-Pour, Amir, et al.
Published: (2025)
DFPL: Decentralized Federated Prototype Learning Across Heterogeneous Data Distributions
by: Zhang, Hongliang, et al.
Published: (2025)
by: Zhang, Hongliang, et al.
Published: (2025)
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning
by: Huang, Binbin, et al.
Published: (2024)
by: Huang, Binbin, et al.
Published: (2024)
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
by: Feng, Chao, et al.
Published: (2024)
by: Feng, Chao, et al.
Published: (2024)
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
by: Zhang, Li, et al.
Published: (2025)
by: Zhang, Li, et al.
Published: (2025)
Beyond A Single AI Cluster: A Survey of Decentralized LLM Training
by: Dong, Haotian, et al.
Published: (2025)
by: Dong, Haotian, et al.
Published: (2025)
A Taxonomy of Schedulers -- Operating Systems, Clusters and Big Data Frameworks
by: Sliwko, Leszek
Published: (2025)
by: Sliwko, Leszek
Published: (2025)
CarbonFlex: Enabling Carbon-aware Provisioning and Scheduling for Cloud Clusters
by: Hanafy, Walid A., et al.
Published: (2025)
by: Hanafy, Walid A., et al.
Published: (2025)
DeFRiS: Silo-Cooperative IoT Applications Scheduling via Decentralized Federated Reinforcement Learning
by: Wang, Zhiyu, et al.
Published: (2026)
by: Wang, Zhiyu, et al.
Published: (2026)
Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow
by: Wang, Yuandou, et al.
Published: (2025)
by: Wang, Yuandou, et al.
Published: (2025)
Fault-Tolerant Decentralized Distributed Asynchronous Federated Learning with Adaptive Termination Detection
by: Akkinepally, Phani Sahasra, et al.
Published: (2025)
by: Akkinepally, Phani Sahasra, et al.
Published: (2025)
Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads
by: Zojer, Patrick, et al.
Published: (2026)
by: Zojer, Patrick, et al.
Published: (2026)
PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters
by: Jain, Rutwik, et al.
Published: (2024)
by: Jain, Rutwik, et al.
Published: (2024)
Fair Kernel-Lock-Free Claim/Release Protocol for Shared Object Access in Cooperatively Scheduled Runtimes
by: Chalmers, Kevin, et al.
Published: (2025)
by: Chalmers, Kevin, et al.
Published: (2025)
ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
by: Farahani, Reza, et al.
Published: (2026)
by: Farahani, Reza, et al.
Published: (2026)
Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning
by: Chen, Jingyun, et al.
Published: (2025)
by: Chen, Jingyun, et al.
Published: (2025)
Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
by: Wang, Shilong, et al.
Published: (2025)
by: Wang, Shilong, et al.
Published: (2025)
DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations
by: Yang, Minghao, et al.
Published: (2024)
by: Yang, Minghao, et al.
Published: (2024)
ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation
by: Zhao, Liang, et al.
Published: (2024)
by: Zhao, Liang, et al.
Published: (2024)
Privacy-preserving Chunk Scheduling in a BitTorrent Implementation of Federated Learning
by: Li, Naicheng, et al.
Published: (2026)
by: Li, Naicheng, et al.
Published: (2026)
Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters
by: Da, Wei, et al.
Published: (2025)
by: Da, Wei, et al.
Published: (2025)
Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
by: Qin, Zhen, et al.
Published: (2022)
by: Qin, Zhen, et al.
Published: (2022)
Decentralized Semantic Federated Learning for Real-Time Public Safety Tasks: Challenges, Methods, and Directions
by: Li, Baosheng, et al.
Published: (2025)
by: Li, Baosheng, et al.
Published: (2025)
GFS: A Preemption-aware Scheduling Framework for GPU Clusters with Predictive Spot Instance Management
by: Duan, Jiaang, et al.
Published: (2025)
by: Duan, Jiaang, et al.
Published: (2025)
Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing
by: Luo, Yizhou, et al.
Published: (2024)
by: Luo, Yizhou, et al.
Published: (2024)
Similar Items
-
Eventually-Consistent Federated Scheduling for Data Center Workloads
by: Thiyyakat, Meghana, et al.
Published: (2023) -
Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning
by: Hamood, Moqbel, et al.
Published: (2024) -
Scheduling for On-Board Federated Learning with Satellite Clusters
by: Razmi, Nasrin, et al.
Published: (2024) -
Decentralized Federated Averaging via Random Walk
by: Wang, Changheng, et al.
Published: (2025) -
A Decentralized Microservice Scheduling Approach Using Service Mesh in Cloud-Edge Systems
by: Wen, Yangyang, et al.
Published: (2025)