most citedMLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning

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cs.AI2026★ 2 cited

MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning

Jianyi Zhang, Hao Frank Yang, Ang Li +5

Previous studies on federated learning (FL) often encounter performance degradation due to data heterogeneity among different clients. In light of the recent advances in multimodal…

cs.AI2026

AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents

Yiyi Lu, Hoi Ian Au, Junyao Zhang +8

Electronic Design Automation (EDA) remains heavily reliant on tool command language (Tcl) scripting to drive complex RTL-to-GDSII flows. This scripting-based paradigm is labor-inte…