Imagen de Portada

Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhong, Zhaofeng, Yuan, Wei, Qu, Liang, Chen, Tong, Wang, Hao, Zhao, Xiangyu, Yin, Hongzhi
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Sparser Training for On-Device Recommendation Systems
por: Qu, Yunke, et al.
Publicado: (2024)

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
por: Zheng, Ruiqi, et al.
Publicado: (2024)

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
por: Qu, Liang, et al.
Publicado: (2024)

Cloud-Device Collaborative Agents for Sequential Recommendation
por: Long, Jing, et al.
Publicado: (2025)

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
por: Liang, Xurong, et al.
Publicado: (2025)

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
por: Long, Jing, et al.
Publicado: (2024)

Federated Learning and Unlearning for Recommendation with Personalized Data Sharing
por: Qu, Liang, et al.
Publicado: (2026)

Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
por: Zhang, Yi, et al.
Publicado: (2025)

Scalable Dynamic Embedding Size Search for Streaming Recommendation
por: Qu, Yunke, et al.
Publicado: (2024)

On-Device Recommender Systems: A Comprehensive Survey
por: Yin, Hongzhi, et al.
Publicado: (2024)

Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts
por: Qu, Yunke, et al.
Publicado: (2025)

DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation
por: Zheng, Ruiqi, et al.
Publicado: (2024)

SCaLRec: Semantic Calibration for LLM-enabled Cloud-Device Sequential Recommendation
por: Zheng, Ruiqi, et al.
Publicado: (2026)

Continuous Input Embedding Size Search For Recommender Systems
por: Qu, Yunke, et al.
Publicado: (2023)

Harnessing Large Language Models for Group POI Recommendations
por: Long, Jing, et al.
Publicado: (2024)

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
por: Zheng, Ruiqi, et al.
Publicado: (2024)

On-Device Large Language Models for Sequential Recommendation
por: Xia, Xin, et al.
Publicado: (2026)

On Mitigating Data Sparsity in Conversational Recommender Systems
por: Zhang, Sixiao, et al.
Publicado: (2025)

Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation
por: Qu, Liang, et al.
Publicado: (2025)

Multi-agents based User Values Mining for Recommendation
por: Chen, Lijian, et al.
Publicado: (2025)

Lightweight Embeddings for Graph Collaborative Filtering
por: Liang, Xurong, et al.
Publicado: (2024)

On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective
por: Tran, Hung Vinh, et al.
Publicado: (2024)

Watermarking Large Language Model-based Time Series Forecasting
por: Yuan, Wei, et al.
Publicado: (2025)

Robust Federated Contrastive Recommender System against Model Poisoning Attack
por: Yuan, Wei, et al.
Publicado: (2024)

Device-Cloud Collaborative Correction for On-Device Recommendation
por: Zhan, Tianyu, et al.
Publicado: (2025)

Hide Your Model: A Parameter Transmission-free Federated Recommender System
por: Yuan, Wei, et al.
Publicado: (2023)

Automated Similarity Metric Generation for Recommendation
por: Qu, Liang, et al.
Publicado: (2024)

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
por: Liu, Tianqi, et al.
Publicado: (2025)

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
por: Zhang, Yingyi, et al.
Publicado: (2025)

When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
por: Qiao, Shutong, et al.
Publicado: (2026)

Data Watermarking for Sequential Recommender Systems
por: Zhang, Sixiao, et al.
Publicado: (2024)

Budgeted Embedding Table For Recommender Systems
por: Qu, Yunke, et al.
Publicado: (2023)

ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation
por: Zhang, Yi, et al.
Publicado: (2025)

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System
por: Yuan, Wei, et al.
Publicado: (2024)

ASPIRE: Make Spectral Graph Collaborative Filtering Great Again via Adaptive Filter Learning
por: He, Yunhang, et al.
Publicado: (2026)

Tackling Data Heterogeneity in Federated Time Series Forecasting
por: Yuan, Wei, et al.
Publicado: (2024)

Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time Scaling
por: Jiang, Wei, et al.
Publicado: (2026)

Challenging Low Homophily in Social Recommendation
por: Jiang, Wei, et al.
Publicado: (2024)

M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation
por: Zhang, Qianru, et al.
Publicado: (2025)

MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation
por: Wang, Zijie J., et al.
Publicado: (2024)