12 citations · 43 across the 16 of their papers we have counts for
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cs.LG2022★ 2 cited
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning
Jialiang Han, Yudong Han, Gang Huang +1
Federated learning (FL) is an emerging promising paradigm of privacy-preserving machine learning (ML). An important type of FL is cross-silo FL, which enables a small scale of orga…
cs.NI2022★ 3 cited
Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading
Daliang Xu, Mengwei Xu, Qipeng Wang +6
This paper proposes Mandheling, the first system that enables highly resource-efficient on-device training by orchestrating the mixed-precision training with on-chip Digital Signal…
cs.LG2022★ 2 cited
Benchmarking of DL Libraries and Models on Mobile Devices
Qiyang Zhang, Xiang Li, Xiangying Che +6
Deploying deep learning (DL) on mobile devices has been a notable trend in recent years. To support fast inference of on-device DL, DL libraries play a critical role as algorithms…