mlsanityData to 14 Oct 2026

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

arXiv 2503.12389 ↗First posted 16 Mar 2025cs.AIcited by 0

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Abstract (arXiv)

Collaboration can amalgamate diverse ideas, styles, and visual elements, fostering creativity and innovation among different designers. In collaborative design, sketches play a pivotal role as a means of expressing design creativity. However, designers often tend to not openly share these meticulously crafted sketches. This phenomenon of data island in the design area hinders its digital transformation under the third wave of AI. In this paper, we introduce a Federated Generative Artificial Intelligence Clothing system, namely FedGAI, employing federated learning to aid in sketch design. FedGAI is committed to establishing an ecosystem wherein designers can exchange sketch styles among themselves. Through FedGAI, designers can generate sketches that incorporate various designers' styles from their peers, drawing inspiration from collaboration without the need for data disclosure or upload. Extensive performance evaluations indicate that our FedGAI system can produce multi-styled sketches of comparable quality to human-designed ones while significantly enhancing efficiency compared to hand-drawn sketches.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 40 of its 70 references that are in the map. First posted on arXiv 16 Mar 2025.

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40 of 70 references.

References · 40

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28 more
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