430 citations · 431 across the 4 of their papers we have counts for
4 papers
-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-, exhibit high…
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…
Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach
Chen Tang, Haoyu Zhai, Kai Ouyang +3
Conventional model quantization methods use a fixed quantization scheme to different data samples, which ignores the inherent "recognition difficulty" differences between various s…
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…