Saved in:
| Main Authors: | Yang, Jixiao, Chen, Jinyu, Huang, Zixiao, Xu, Chengda, Zhang, Chi, Li, Sijia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.20218 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Shared Representation Learning for High-Dimensional Multi-Task Forecasting under Resource Contention in Cloud-Native Backends
by: Huang, Zixiao, et al.
Published: (2025)
by: Huang, Zixiao, et al.
Published: (2025)
FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
by: Sinha, Aditya, et al.
Published: (2025)
by: Sinha, Aditya, et al.
Published: (2025)
SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms
by: Chen, Dian, et al.
Published: (2024)
by: Chen, Dian, et al.
Published: (2024)
Cost-Aware Learning
by: Mohri, Clara, et al.
Published: (2026)
by: Mohri, Clara, et al.
Published: (2026)
Trust via Reputation of Conviction
by: Iyengar, Aravind R.
Published: (2026)
by: Iyengar, Aravind R.
Published: (2026)
GitFL: Adaptive Asynchronous Federated Learning using Version Control
by: Hu, Ming, et al.
Published: (2022)
by: Hu, Ming, et al.
Published: (2022)
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning
by: Tran, Dung T., et al.
Published: (2025)
by: Tran, Dung T., et al.
Published: (2025)
The Cost of Local and Global Fairness in Federated Learning
by: Duan, Yuying, et al.
Published: (2025)
by: Duan, Yuying, et al.
Published: (2025)
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance
by: Xia, Zeke, et al.
Published: (2024)
by: Xia, Zeke, et al.
Published: (2024)
SOFA-FL: Self-Organizing Hierarchical Federated Learning with Adaptive Clustered Data Sharing
by: Ni, Yi, et al.
Published: (2025)
by: Ni, Yi, et al.
Published: (2025)
Trust by Design: Skill Profiles for Transparent, Cost-Aware LLM Routing
by: Okamoto, Mika, et al.
Published: (2026)
by: Okamoto, Mika, et al.
Published: (2026)
Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget
by: Čilić, Ivan, et al.
Published: (2024)
by: Čilić, Ivan, et al.
Published: (2024)
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms
by: Peng, Yuanzhe, et al.
Published: (2025)
by: Peng, Yuanzhe, et al.
Published: (2025)
Cost-Aware Contrastive Routing for LLMs
by: Shirkavand, Reza, et al.
Published: (2025)
by: Shirkavand, Reza, et al.
Published: (2025)
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain
by: Chen, Weiliang, et al.
Published: (2024)
by: Chen, Weiliang, et al.
Published: (2024)
FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning
by: Yang, Yanxin, et al.
Published: (2023)
by: Yang, Yanxin, et al.
Published: (2023)
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
by: Jia, Chentao, et al.
Published: (2023)
by: Jia, Chentao, et al.
Published: (2023)
AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
by: Dif, Meryem Malak, et al.
Published: (2025)
by: Dif, Meryem Malak, et al.
Published: (2025)
SpooFL: Spoofing Federated Learning
by: Baglin, Isaac, et al.
Published: (2026)
by: Baglin, Isaac, et al.
Published: (2026)
Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning
by: Joo, Hyeong-Gun, et al.
Published: (2025)
by: Joo, Hyeong-Gun, et al.
Published: (2025)
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
by: Zheng, Zhong, et al.
Published: (2023)
by: Zheng, Zhong, et al.
Published: (2023)
IP-FL: Incentivized and Personalized Federated Learning
by: Khan, Ahmad Faraz, et al.
Published: (2023)
by: Khan, Ahmad Faraz, et al.
Published: (2023)
Non-Convex Federated Optimization under Cost-Aware Client Selection
by: Jiang, Xiaowen, et al.
Published: (2025)
by: Jiang, Xiaowen, et al.
Published: (2025)
BlazeFL: Fast and Deterministic Federated Learning Simulation
by: Azuma, Kitsuya, et al.
Published: (2026)
by: Azuma, Kitsuya, et al.
Published: (2026)
ByzFL: Research Framework for Robust Federated Learning
by: González, Marc, et al.
Published: (2025)
by: González, Marc, et al.
Published: (2025)
AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems
by: Chen, Yulang, et al.
Published: (2026)
by: Chen, Yulang, et al.
Published: (2026)
CAFe: Cost and Age aware Federated Learning
by: Liyanaarachchi, Sahan, et al.
Published: (2024)
by: Liyanaarachchi, Sahan, et al.
Published: (2024)
Trading-off Accuracy and Communication Cost in Federated Learning
by: Villani, Mattia Jacopo, et al.
Published: (2025)
by: Villani, Mattia Jacopo, et al.
Published: (2025)
SDM-Q: Cost-Aware Staged Decision-Making for Multi-Omics Classification with Deep Q-Learning
by: Mu, Nan, et al.
Published: (2026)
by: Mu, Nan, et al.
Published: (2026)
Panther: A Cost-Effective Privacy-Preserving Framework for GNN Training and Inference Services in Cloud Environments
by: Chen, Congcong, et al.
Published: (2025)
by: Chen, Congcong, et al.
Published: (2025)
FL-Defender: Combating Targeted Attacks in Federated Learning
by: Jebreel, Najeeb, et al.
Published: (2022)
by: Jebreel, Najeeb, et al.
Published: (2022)
ProFL: Performative Robust Optimal Federated Learning
by: Zheng, Xue, et al.
Published: (2024)
by: Zheng, Xue, et al.
Published: (2024)
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
by: Zhang, Jierui, et al.
Published: (2024)
by: Zhang, Jierui, et al.
Published: (2024)
HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
by: Yang, Xiaohong, et al.
Published: (2025)
by: Yang, Xiaohong, et al.
Published: (2025)
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models
by: Zhang, Jixiao, et al.
Published: (2025)
by: Zhang, Jixiao, et al.
Published: (2025)
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
by: Ballotta, Luca, et al.
Published: (2023)
by: Ballotta, Luca, et al.
Published: (2023)
LiD-FL: Towards List-Decodable Federated Learning
by: Liu, Hong, et al.
Published: (2024)
by: Liu, Hong, et al.
Published: (2024)
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
by: Le, Qi, et al.
Published: (2024)
by: Le, Qi, et al.
Published: (2024)
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
by: Zhong, Zhengyi, et al.
Published: (2025)
by: Zhong, Zhengyi, et al.
Published: (2025)
Similar Items
-
Shared Representation Learning for High-Dimensional Multi-Task Forecasting under Resource Contention in Cloud-Native Backends
by: Huang, Zixiao, et al.
Published: (2025) -
FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
by: Sinha, Aditya, et al.
Published: (2025) -
SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms
by: Chen, Dian, et al.
Published: (2024) -
Cost-Aware Learning
by: Mohri, Clara, et al.
Published: (2026) -
Trust via Reputation of Conviction
by: Iyengar, Aravind R.
Published: (2026)