Yifei Zhu

most citedParallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction

430 citations · 431 across the 4 of their papers we have counts for

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cs.LG2025

$γ$ -FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning

Rongwei Lu, Yutong Jiang, Jinrui Zhang +4

Gradient compression can effectively alleviate communication bottlenecks in Federated Learning (FL). Contemporary state-of-the-art sparse compressors, such as Top- $k$ , exhibit high…

cs.LG2022

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach

Shuzhao Xie, Yuan Xue, Yifei Zhu +1

With the advancement of deep learning techniques, major cloud providers and niche machine learning service providers start to offer their cloud-based machine learning tools, also k…

cs.LG2022★ 430 cited

Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction

Fan Jin, Ke Zhang, Yipan Huang +2

As industrial systems become more complex and monitoring sensors for everything from surveillance to our health become more ubiquitous, multivariate time series prediction is takin…

γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach

Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction

$γ$ -FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning