4 papers
NestedKV: Nested Memory Routing for Long-Context KV Cache Compression
Hong Chen, Xiang Liu, Yubo Gao +5
Long-context language models are limited by the memory footprint of the key-value (KV) cache. Existing training-free KV compression methods usually rank tokens by one importance si…
Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation
Hong Chen, Pengcheng Wu, Yuanguo Lin +4
We rethink Federated Learning (FL) from a nested learning perspective, framing the core challenge as how to collaboratively learn optimization rules, not just static models, to tac…
A Survey on Privacy Risks and Protection in Large Language Models
Kang Chen, Xiuze Zhou, Yuanguo Lin +3
Although Large Language Models (LLMs) have become increasingly integral to diverse applications, their capabilities raise significant privacy concerns. This survey offers a compreh…
Attack and defense techniques in large language models: A survey and new perspectives
Zhiyu Liao, Kang Chen, Yuanguo Lin +5
Large Language Models (LLMs) have become central to numerous natural language processing tasks, but their vulnerabilities present significant security and ethical challenges. This…