We have 2 of 6 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Results indicate that current LLMs are substantially more reliable at detecting broad collaboration opportunities than at identifying their specific types and role directions.
This work proposes SeqFedRPC, a novel model decoupling based SFL framework with regularized parameter clustering, and employs a clustering‐based scheme to adaptively decouple the model parameters into shared and personalized subsets, thereby addressing the challenge of non‐IID data.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
