2024 "on-device training" Papers

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PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

Charlie Hou, Akshat Shrivastava, Hongyuan Zhan et al.

ICML 2024posterarXiv:2406.02958

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

Yihua Zhang, Pingzhi Li, Junyuan Hong et al.

ICML 2024posterarXiv:2402.11592

TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge

Young Kwon, Rui Li, Stylianos Venieris et al.

ICML 2024posterarXiv:2307.09988