federated learning 2continual learning 1edge intelligence 1elastic weight consolidation 1multimodal large language models 1multimodal models 1parameter-efficient fine-tuning 1personalization 1synthetic replay 1
From the 2 of 6 linked papers with an AI index.
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cs.LG2026
Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning
Jing Liu, Chenxuanyin Zou, Jiayang Ren +5
The paper introduces FedCMM, a framework that combines elastic weight consolidation, synthetic replay, and task‑similarity‑aware gradient aggregation to prevent catastrophic forget…
cs.LG2026
PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs
Jing Liu, Kun Yang, Yan Wang +5
The paper introduces PFAdapter, a framework that uses hierarchical LoRA decomposition to split adapter parameters into globally shared and locally private parts, enabling efficient…