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model compression (3) neural network optimization (2) neural network (1) convolution operation (1) layer depth (1) heterogeneous client (1) long-context llm (1) adder network (1) learning rate strategy (1) personalized resource (1)

Papers

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees ICML 2024 Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach EMNLP 2024 Toward Low-Cost End-to-End Spoken Language Understanding Interspeech 2022 AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020 Learning Structured Sparsity in Deep Neural Networks NeurIPS 2016