$Λ$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI
Fuente:
arXiv
Saved in:
| Main Authors: | Ohta, Shoki, Nishio, Takayuki |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| 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)
Hierarchical Split Federated Learning: Convergence Analysis and System Optimization
by: Lin, Zheng, et al.
Published: (2024)
by: Lin, Zheng, et al.
Published: (2024)
Workflow Optimization for Parallel Split Learning
by: Tirana, Joana, et al.
Published: (2024)
by: Tirana, Joana, et al.
Published: (2024)
Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning
by: Yu, Zhiyong, et al.
Published: (2025)
by: Yu, Zhiyong, 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)
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing
by: Zeng, Liekang, et al.
Published: (2024)
by: Zeng, Liekang, 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)
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)
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)
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)
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)
COMSPLIT: A Communication-Aware Split Learning Design for Heterogeneous IoT Platforms
by: Ninkovic, Vukan, et al.
Published: (2024)
by: Ninkovic, Vukan, et al.
Published: (2024)
Cloud Is Closer Than It Appears: Revisiting the Tradeoffs of Distributed Real-Time Inference
by: Sharma, Pragya, et al.
Published: (2026)
by: Sharma, Pragya, et al.
Published: (2026)
Edge-device Collaborative Computing for Multi-view Classification
by: Palena, Marco, et al.
Published: (2024)
by: Palena, Marco, et al.
Published: (2024)
Federated Continual Learning for Edge-AI: A Comprehensive Survey
by: Wang, Zi, et al.
Published: (2024)
by: Wang, Zi, et al.
Published: (2024)
Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing
by: Ye, Shengyuan, et al.
Published: (2024)
by: Ye, Shengyuan, et al.
Published: (2024)
NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing
by: Gao, Fei, et al.
Published: (2024)
by: Gao, Fei, et al.
Published: (2024)
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
by: Ye, Shengyuan, et al.
Published: (2024)
by: Ye, Shengyuan, et al.
Published: (2024)
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs
by: Commey, Daniel, et al.
Published: (2025)
by: Commey, Daniel, et al.
Published: (2025)
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services
by: Wang, Zerui, et al.
Published: (2024)
by: Wang, Zerui, et al.
Published: (2024)
Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum
by: Deng, Akuen Akoi, et al.
Published: (2026)
by: Deng, Akuen Akoi, et al.
Published: (2026)
Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems
by: Parra-Ullauri, Juan Marcelo, et al.
Published: (2024)
by: Parra-Ullauri, Juan Marcelo, et al.
Published: (2024)
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks
by: Koursioumpas, Nikolaos, et al.
Published: (2024)
by: Koursioumpas, Nikolaos, et al.
Published: (2024)
Over-the-Top Resource Broker System for Split Computing: An Approach to Distribute Cloud Computing Infrastructure
by: Friese, Ingo, et al.
Published: (2025)
by: Friese, Ingo, et al.
Published: (2025)
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks
by: Zhu, Yan, et al.
Published: (2025)
by: Zhu, Yan, et al.
Published: (2025)
Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems
by: Lapkovskis, Alfreds, et al.
Published: (2025)
by: Lapkovskis, Alfreds, et al.
Published: (2025)
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI
by: Morabito, Roberto, et al.
Published: (2025)
by: Morabito, Roberto, et al.
Published: (2025)
Trust-Aware Routing for Distributed Generative AI Inference at the Edge
by: Nguyen, Chanh, et al.
Published: (2026)
by: Nguyen, Chanh, et al.
Published: (2026)
Fedstellar: A Platform for Decentralized Federated Learning
by: Beltrán, Enrique Tomás Martínez, et al.
Published: (2023)
by: Beltrán, Enrique Tomás Martínez, et al.
Published: (2023)
UCCL-EP: Portable Expert-Parallel Communication
by: Mao, Ziming, et al.
Published: (2025)
by: Mao, Ziming, et al.
Published: (2025)
Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks
by: Zhang, Han, et al.
Published: (2024)
by: Zhang, Han, et al.
Published: (2024)
Vertical Federated Learning for Failure-Cause Identification in Disaggregated Microwave Networks
by: Temiz, Fatih, et al.
Published: (2025)
by: Temiz, Fatih, et al.
Published: (2025)
Early-Exit meets Model-Distributed Inference at Edge Networks
by: Colocrese, Marco, et al.
Published: (2024)
by: Colocrese, Marco, et al.
Published: (2024)
Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning
by: Vaishnav, Shubham, et al.
Published: (2025)
by: Vaishnav, Shubham, et al.
Published: (2025)
ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes
by: Sánchez, Pedro Miguel Sánchez, et al.
Published: (2024)
by: Sánchez, Pedro Miguel Sánchez, et al.
Published: (2024)
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
by: Sun, Tingyang, et al.
Published: (2025)
by: Sun, Tingyang, et al.
Published: (2025)
Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models
by: Wu, Fei, et al.
Published: (2025)
by: Wu, Fei, et al.
Published: (2025)
ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G
by: Shokrnezhad, Masoud, et al.
Published: (2024)
by: Shokrnezhad, Masoud, et al.
Published: (2024)
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
by: Tang, Zhenheng, et al.
Published: (2024)
by: Tang, Zhenheng, 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) -
Hierarchical Split Federated Learning: Convergence Analysis and System Optimization
by: Lin, Zheng, et al.
Published: (2024) -
Workflow Optimization for Parallel Split Learning
by: Tirana, Joana, et al.
Published: (2024) -
Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning
by: Yu, Zhiyong, et al.
Published: (2025) -
Split Learning in 6G Edge Networks
by: Lin, Zheng, et al.
Published: (2023)