conftrace_

on-device training

9 papers

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Co-occurring keywords · papers mentioning both

federated learning (4) model compression (4) edge computing (2) efficient computing (2) spectral model sharding (1) unbiased estimator (1) memory consumption (1) communication cost (1) quantization-aware training (1) on-device learning (1)

Papers

DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering NAACL 2024 On Sampling Strategies for Spectral Model Sharding NeurIPS 2024 PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs ICML 2024 Stepping Forward on the Last Mile NeurIPS 2024 Efficient On-Device Training via Gradient Filtering CVPR 2023 Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device Interspeech 2022 On-Device Training Under 256KB Memory NeurIPS 2022 Production federated keyword spotting via distillation, filtering, and joint federated-centralized training Interspeech 2022 ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity ICLR 2022