arXiv Machine Learning August 4, 2026 By Zijian Jiang, Chaoli Sun, Handing Wang, Xilu Wang

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning

Read the original on arXiv Machine Learning →

arXiv:2608. 02222v1 Announce Type: new Abstract: One-shot federated learning (OSFL) has emerged as a promising collaborative model learning framework with only a single round of communication, offering significant advantages in communication efficiency and privacy preservation.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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