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20242026
most citedFedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning

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cs.CL2026

Clustering-driven Memory Compression for On-device Large Language Models

Ondrej Bohdal, Pramit Saha, Umberto Michieli +2

Large language models (LLMs) often rely on user-specific memories distilled from past interactions to enable personalized generation. A common practice is to concatenate these memo…