559 citations · 837 across the 5 of their papers we have counts for
5 papers
Exploring CKKS Parameter Trade-offs for Privacy-Preserving Personalized Federated Learning
Kamolchanok Saengtong, Phanwadee Sinthong, Norrathep Rattanavipanon
Privacy-preserving Personalized Federated Learning (PFL) enables clients to collaboratively train personalized models without exposing raw data, but exchanged model updates remain…
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Vijay Ekambaram, Arindam Jati, Nam Nguyen +2
Transformers have gained popularity in time series forecasting for their ability to capture long-sequence interactions. However, their high memory and computing requirements pose a…
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong +1
We propose an efficient design of Transformer-based models for multivariate time series forecasting and self-supervised representation learning. It is based on two key components:…
PolyFrame: A Retargetable Query-based Approach to Scaling DataFrames (Extended Version)
Phanwadee Sinthong, Michael J. Carey
In the last few years, the field of data science has been growing rapidly as various businesses have adopted statistical and machine learning techniques to empower their decision m…
AFrame: Extending DataFrames for Large-Scale Modern Data Analysis (Extended Version)
Phanwadee Sinthong, Michael J. Carey
Analyzing the increasingly large volumes of data that are available today, possibly including the application of custom machine learning models, requires the utilization of distrib…