Hierarchical Split Federated Learning: Convergence Analysis and System Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Zheng, Wei, Wei, Chen, Zhe, Lam, Chan-Tong, Chen, Xianhao, Gao, Yue, Luo, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks
by: Lin, Zheng, et al.
Published: (2025)
by: Lin, Zheng, et al.
Published: (2025)
Split Learning in 6G Edge Networks
by: Lin, Zheng, et al.
Published: (2023)
by: Lin, Zheng, et al.
Published: (2023)
SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework
by: Wu, Jiasheng, et al.
Published: (2025)
by: Wu, Jiasheng, et al.
Published: (2025)
Plotinus: A Satellite Internet Digital Twin System
by: Gao, Yue, et al.
Published: (2024)
by: Gao, Yue, et al.
Published: (2024)
Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
by: Luo, Handong, et al.
Published: (2024)
by: Luo, Handong, et al.
Published: (2024)
Hierarchical Online-Scheduling for Energy-Efficient Split Inference with Progressive Transmission
by: Tang, Zengzipeng, et al.
Published: (2026)
by: Tang, Zengzipeng, et al.
Published: (2026)
SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference
by: Chen, Qian, et al.
Published: (2025)
by: Chen, Qian, et al.
Published: (2025)
AllReduce Scheduling with Hierarchical Deep Reinforcement Learning
by: Wei, Yufan, et al.
Published: (2025)
by: Wei, Yufan, et al.
Published: (2025)
SplitSim: Large-Scale Simulations for Evaluating Network Systems Research
by: Li, Hejing, et al.
Published: (2024)
by: Li, Hejing, et al.
Published: (2024)
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices
by: Tang, Weiheng, et al.
Published: (2024)
by: Tang, Weiheng, et al.
Published: (2024)
RailX: A Flexible, Scalable, and Low-Cost Network Architecture for Hyper-Scale LLM Training Systems
by: Feng, Yinxiao, et al.
Published: (2025)
by: Feng, Yinxiao, et al.
Published: (2025)
Diffusion Models on the Edge: Challenges, Optimizations, and Applications
by: Zheng, Dongqi
Published: (2025)
by: Zheng, Dongqi
Published: (2025)
Towards Practical Overlay Networks for Decentralized Federated Learning
by: Hua, Yifan, et al.
Published: (2024)
by: Hua, Yifan, et al.
Published: (2024)
Edge-assisted Parallel Uncertain Skyline Processing for Low-latency IoE Analysis
by: Lai, Chuan-Chi, et al.
Published: (2025)
by: Lai, Chuan-Chi, et al.
Published: (2025)
EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving
by: Liu, Boyi, et al.
Published: (2024)
by: Liu, Boyi, et al.
Published: (2024)
Optimizing Split Learning Latency in TinyML-Based IoT Systems
by: Jenhani, Zied, et al.
Published: (2025)
by: Jenhani, Zied, et al.
Published: (2025)
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems
by: Lin, Zheng, et al.
Published: (2025)
by: Lin, Zheng, et al.
Published: (2025)
Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep Reinforcement Learning
by: Li, Zhen, et al.
Published: (2026)
by: Li, Zhen, et al.
Published: (2026)
Federated Learning and Evolutionary Game Model for Fog Federation Formation
by: Yasser, Zyad, et al.
Published: (2024)
by: Yasser, Zyad, et al.
Published: (2024)
A Density-Delay Law for Stable Event-Driven State Progression in Open Distributed Systems
by: Chen, Bin, et al.
Published: (2026)
by: Chen, Bin, et al.
Published: (2026)
Closing the HPC-Cloud Convergence Gap: Multi-Tenant Slingshot RDMA for Kubernetes
by: Friese, Philipp A., et al.
Published: (2025)
by: Friese, Philipp A., et al.
Published: (2025)
Workflow Optimization for Parallel Split Learning
by: Tirana, Joana, et al.
Published: (2024)
by: Tirana, Joana, et al.
Published: (2024)
Topology-aware Microservice Architecture in Edge Networks: Deployment Optimization and Implementation
by: Chen, Yuang, et al.
Published: (2025)
by: Chen, Yuang, et al.
Published: (2025)
Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks
by: Zhang, Junhe, et al.
Published: (2024)
by: Zhang, Junhe, et al.
Published: (2024)
Dynamic Hierarchical Birkhoff-von Neumann Decomposition for All-to-All GPU Communication
by: Wu, Yen-Chieh, et al.
Published: (2026)
by: Wu, Yen-Chieh, et al.
Published: (2026)
DRDST: Low-latency DAG Consensus through Robust Dynamic Sharding and Tree-broadcasting for IoV
by: Chen, Runhua, et al.
Published: (2024)
by: Chen, Runhua, et al.
Published: (2024)
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation
by: Liao, Yunming, et al.
Published: (2023)
by: Liao, Yunming, et al.
Published: (2023)
Surviving the Edge: Federated Learning under Networking and Resource Constraints
by: Mwanje, Mike, et al.
Published: (2026)
by: Mwanje, Mike, et al.
Published: (2026)
A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN
by: Chen, Qian, et al.
Published: (2024)
by: Chen, Qian, et al.
Published: (2024)
Throughput-Optimized Networks at Scale
by: Green, Conor James, et al.
Published: (2026)
by: Green, Conor James, et al.
Published: (2026)
SDNator is Not Another SDN Controller: Enabling Extensible Data-Driven Control in Cyber-Physical Systems
by: Lin, Y., et al.
Published: (2026)
by: Lin, Y., et al.
Published: (2026)
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization
by: Mudvari, Akrit, et al.
Published: (2024)
by: Mudvari, Akrit, et al.
Published: (2024)
Revolutionizing Datacenter Networks via Reconfigurable Topologies
by: Avin, Chen, et al.
Published: (2025)
by: Avin, Chen, et al.
Published: (2025)
A Model Consistency-Based Countermeasure to GAN-Based Data Poisoning Attack in Federated Learning
by: Sun, Wei, et al.
Published: (2024)
by: Sun, Wei, et al.
Published: (2024)
Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices
by: Liu, Jun, et al.
Published: (2024)
by: Liu, Jun, et al.
Published: (2024)
Future Resource Bank for ISAC: Achieving Fast and Stable Win-Win Matching for Both Individuals and Coalitions
by: Qi, Houyi, et al.
Published: (2025)
by: Qi, Houyi, et al.
Published: (2025)
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)
Multi-stage Flow Scheduling for LLM Serving
by: Sun, Yijun, et al.
Published: (2026)
by: Sun, Yijun, et al.
Published: (2026)
PSMOA: Policy Support Multi-Objective Optimization Algorithm for Decentralized Data Replication
by: Wang, Xi, et al.
Published: (2025)
by: Wang, Xi, et al.
Published: (2025)
LIMO: Load-balanced Offloading with MAPE and Particle Swarm Optimization in Mobile Fog Networks
by: Seraj, Yasaman, et al.
Published: (2024)
by: Seraj, Yasaman, et al.
Published: (2024)
Similar Items
-
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks
by: Lin, Zheng, et al.
Published: (2025) -
Split Learning in 6G Edge Networks
by: Lin, Zheng, et al.
Published: (2023) -
SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework
by: Wu, Jiasheng, et al.
Published: (2025) -
Plotinus: A Satellite Internet Digital Twin System
by: Gao, Yue, et al.
Published: (2024) -
Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
by: Luo, Handong, et al.
Published: (2024)