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20242026
most citedpFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving

2 citations · 4 across the 14 of their papers we have counts for

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cs.CL2026

Learning an Anchored Prompt Space for Continual Adaptation of Large Language Models

Rongguang Ye, Zhan Zhuang, Yichen Wu +2

Continually adapting large language models requires acquiring new knowledge while preserving previously learned capabilities. Jointly adapting model parameters and task-specific so…

cs.LG2026

OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization

Wei-Bin Kou, Guangxu Zhu, Ming Tang +4

The global deployment of edge intelligence operates across heterogeneous legal frameworks. While some regions permit centralized learning (CL) via cloud data aggregation, others en…