Cover Image

FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Mingzhu, Jiang, Jianan, Li, Xinglin, Deng, Hanhui, Wu, Di
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BRIEDGE: EEG-Adaptive Edge AI for Multi-Brain to Multi-Robot Interaction
by: Ouyang, Jinhui, et al.
Published: (2024)

HAIGEN: Towards Human-AI Collaboration for Facilitating Creativity and Style Generation in Fashion Design
by: Jiang, Jianan, et al.
Published: (2024)

HAIFIT: Human-to-AI Fashion Image Translation
by: Jiang, Jianan, et al.
Published: (2024)

GAI: Generative Agents for Innovation
by: Sato, Masahiro
Published: (2024)

OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization
by: Li, Siyuan, et al.
Published: (2024)

FedOBP: Federated Optimal Brain Personalization through Cloud-Edge Element-wise Decoupling
by: Chen, Xingyan, et al.
Published: (2026)

MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation
by: Zhang, Haoxuan, et al.
Published: (2026)

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models
by: Luo, Huaiying, et al.
Published: (2025)

Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
by: Vu, Thai-Hoc, et al.
Published: (2024)

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
by: Zhu, Yinlin, et al.
Published: (2024)

pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
by: Lai, Jiahao, et al.
Published: (2024)

From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
by: Vuruma, Sai Krishna Revanth, et al.
Published: (2024)

AnalogFed: Federated Discovery of Analog Circuit Topologies with Generative AI
by: Li, Qiufeng, et al.
Published: (2025)

FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder
by: Jiang, Yuchen, et al.
Published: (2024)

Collaborative Edge AI Inference over Cloud-RAN
by: Zhang, Pengfei, et al.
Published: (2024)

Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks
by: Qi, Yaqian, et al.
Published: (2024)

MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI
by: Dongre, Shyam, et al.
Published: (2024)

EdgeNav-QE: QLoRA Quantization and Dynamic Early Exit for LAM-based Navigation on Edge Devices
by: Liu, Mengyun, et al.
Published: (2026)

Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling
by: Chen, Xingyan, et al.
Published: (2024)

Federated Intelligence: When Large AI Models Meet Federated Fine-Tuning and Collaborative Reasoning at the Network Edge
by: Ni, Wanli, et al.
Published: (2025)

SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation
by: Zhong, Luying, et al.
Published: (2024)

FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix
by: Wu, Di, et al.
Published: (2025)

Item Region-based Style Classification Network (IRSN): A Fashion Style Classifier Based on Domain Knowledge of Fashion Experts
by: Choi, Jinyoung, et al.
Published: (2025)

FedSlate:A Federated Deep Reinforcement Learning Recommender System
by: Deng, Yongxin, et al.
Published: (2024)

A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
by: Wu, Jiaqi, et al.
Published: (2025)

Fast AI Model Partition for Split Learning over Edge Networks
by: Li, Zuguang, et al.
Published: (2025)

FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
by: Han, Shanshan, et al.
Published: (2023)

FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation
by: Miao, Cui, et al.
Published: (2025)

UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
by: Zhao, Xiangyu, et al.
Published: (2024)

EfficientECG: Cross-Attention with Feature Fusion for Efficient Electrocardiogram Classification
by: Deng, Hanhui, et al.
Published: (2025)

Computational Challenges in Token Economics: Bridging Economic Theory and AI System Design
by: Wu, Ou, et al.
Published: (2026)

CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification
by: Li, Ludi, et al.
Published: (2025)

FedEGG: Federated Learning with Explicit Global Guidance
by: Zhai, Kun, et al.
Published: (2024)

FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning
by: Zhou, Zhanting, et al.
Published: (2025)

FedGTA: Topology-aware Averaging for Federated Graph Learning
by: Li, Xunkai, et al.
Published: (2024)

Fed-PISA: Federated Voice Cloning via Personalized Identity-Style Adaptation
by: Wang, Qi, et al.
Published: (2025)

FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning
by: Wang, Zihui, et al.
Published: (2024)

Collaborative Design of AI-Enhanced Learning Activities
by: Romero, Margarida
Published: (2024)

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
by: Liu, Xiang, et al.
Published: (2023)

Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs
by: Luo, Huaiying, et al.
Published: (2025)