Boosting Resource-Constrained Federated Learning Systems with Guessed Updates
Fuente:
arXiv
Saved in:
| Main Authors: | Boukhari, Mohamed Yassine, Dhasade, Akash, Kermarrec, Anne-Marie, Pires, Rafael, Safsafi, Othmane, Sharma, Rishi |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decentralized Learning Made Easy with DecentralizePy
by: Dhasade, Akash, et al.
Published: (2023)
by: Dhasade, Akash, et al.
Published: (2023)
Get More for Less in Decentralized Learning Systems
by: Dhasade, Akash, et al.
Published: (2023)
by: Dhasade, Akash, et al.
Published: (2023)
Practical Federated Learning without a Server
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
Revisiting Ensembling in One-Shot Federated Learning
by: Allouah, Youssef, et al.
Published: (2024)
by: Allouah, Youssef, et al.
Published: (2024)
Decentralized Learning Made Practical with Client Sampling
by: de Vos, Martijn, et al.
Published: (2023)
by: de Vos, Martijn, et al.
Published: (2023)
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
by: Dhasade, Akash, et al.
Published: (2024)
by: Dhasade, Akash, 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)
Boosting Asynchronous Decentralized Learning with Model Fragmentation
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
HarMoEny: Efficient Multi-GPU Inference of MoE Models
by: Doucet, Zachary, et al.
Published: (2025)
by: Doucet, Zachary, et al.
Published: (2025)
Low-Cost Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
by: Reinbigler, Marie, et al.
Published: (2025)
by: Reinbigler, Marie, et al.
Published: (2025)
Fair Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Noiseless Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
PeerSwap: A Peer-Sampler with Randomness Guarantees
by: Guerraoui, Rachid, et al.
Published: (2024)
by: Guerraoui, Rachid, et al.
Published: (2024)
Constrained Over-the-Air Model Updating for Wireless Online Federated Learning with Delayed Information
by: Wang, Juncheng, et al.
Published: (2025)
by: Wang, Juncheng, et al.
Published: (2025)
On the Inherent Anonymity of Gossiping
by: Guerraoui, Rachid, et al.
Published: (2023)
by: Guerraoui, Rachid, et al.
Published: (2023)
EnFed: An Energy-aware Federated Learning in Resource Constrained Environments for Human Activity Recognition
by: Mukherjee, Anwesha, et al.
Published: (2024)
by: Mukherjee, Anwesha, et al.
Published: (2024)
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
by: Jia, Chentao, et al.
Published: (2023)
by: Jia, Chentao, et al.
Published: (2023)
Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel
by: Song, Jaeyoung, et al.
Published: (2024)
by: Song, Jaeyoung, et al.
Published: (2024)
Age-Aware Partial Gradient Update Strategy for Federated Learning Over the Air
by: Du, Ruihao, et al.
Published: (2025)
by: Du, Ruihao, et al.
Published: (2025)
FEDBUD: Joint Incentive and Privacy Optimization for Resource-Constrained Federated Learning
by: Liu, Tao, et al.
Published: (2026)
by: Liu, Tao, et al.
Published: (2026)
Accelerating MoE Model Inference with Expert Sharding
by: Balmau, Oana, et al.
Published: (2025)
by: Balmau, Oana, et al.
Published: (2025)
REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments
by: Desai, Humaid Ahmed, et al.
Published: (2023)
by: Desai, Humaid Ahmed, et al.
Published: (2023)
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)
FedFog: Resource-Aware Federated Learning in Edge and Fog Networks
by: Sobati-M, Somayeh
Published: (2025)
by: Sobati-M, Somayeh
Published: (2025)
Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack
by: Yang, Qiantao, et al.
Published: (2026)
by: Yang, Qiantao, et al.
Published: (2026)
AnTi-MiCS: Analytical Framework for Bounding Time in Embedded Mixed-Criticality Systems
by: Ranjbar, Behnaz, et al.
Published: (2026)
by: Ranjbar, Behnaz, et al.
Published: (2026)
Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
by: Liang, Yipeng, et al.
Published: (2025)
by: Liang, Yipeng, et al.
Published: (2025)
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices
by: Pfeiffer, Kilian, et al.
Published: (2024)
by: Pfeiffer, Kilian, et al.
Published: (2024)
Boosting LLM Serving through Spatial-Temporal GPU Resource Sharing
by: Lin, Zejia, et al.
Published: (2025)
by: Lin, Zejia, et al.
Published: (2025)
FedSem: A Resource Allocation Scheme for Federated Learning Assisted Semantic Communication
by: Zhou, Xinyu, et al.
Published: (2025)
by: Zhou, Xinyu, et al.
Published: (2025)
SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks
by: Asif, Abdullah Al, et al.
Published: (2026)
by: Asif, Abdullah Al, et al.
Published: (2026)
Pollen: High-throughput Federated Learning Simulation via Resource-Aware Client Placement
by: Sani, Lorenzo, et al.
Published: (2023)
by: Sani, Lorenzo, et al.
Published: (2023)
Totoro$^+$: An Adaptive and Scalable Edge Federated Learning System
by: Ching, Cheng-Wei, et al.
Published: (2026)
by: Ching, Cheng-Wei, et al.
Published: (2026)
Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction
by: Zhang, Chuanting, et al.
Published: (2025)
by: Zhang, Chuanting, et al.
Published: (2025)
FailLite: Failure-Resilient Model Serving for Resource-Constrained Edge Environments
by: Wu, Li, et al.
Published: (2025)
by: Wu, Li, et al.
Published: (2025)
Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices
by: Behera, Adarsh Prasad, et al.
Published: (2024)
by: Behera, Adarsh Prasad, et al.
Published: (2024)
Timely Parameter Updating in Over-the-Air Federated Learning
by: Zhu, Jiaqi, et al.
Published: (2025)
by: Zhu, Jiaqi, et al.
Published: (2025)
Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
by: Schweisgut, Dominik, et al.
Published: (2026)
by: Schweisgut, Dominik, et al.
Published: (2026)
Similar Items
-
Decentralized Learning Made Easy with DecentralizePy
by: Dhasade, Akash, et al.
Published: (2023) -
Get More for Less in Decentralized Learning Systems
by: Dhasade, Akash, et al.
Published: (2023) -
Practical Federated Learning without a Server
by: Dhasade, Akash, et al.
Published: (2025) -
Revisiting Ensembling in One-Shot Federated Learning
by: Allouah, Youssef, et al.
Published: (2024) -
Decentralized Learning Made Practical with Client Sampling
by: de Vos, Martijn, et al.
Published: (2023)