As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
Abstract: Federated learning enables multiple autonomous aerial vehicles (AAVs) to collaboratively train a global model while preserving data privacy. However, data heterogeneity across AAV swarms ...
Abstract: In light of the growing global concerns over energy and climate change, new energy vehicles are confronted with both opportunities and challenges posed by industrial structural ...
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