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08/22/2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
RNN-based methods have faced challenges in the Long-term Time Series For...
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08/09/2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer
Recently, Transformer-based models have shown remarkable performance in ...
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09/14/2021
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data
Both classification and regression tasks are susceptible to the biased d...
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02/02/2021
FedProf: Optimizing Federated Learning with Dynamic Data Profiling
Federated Learning (FL) has shown great potential as a privacy-preservin...
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11/03/2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
The issue of potential privacy leakage during centralized AI's model tra...
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07/28/2020
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems
Mobile Edge Computing (MEC), which incorporates the Cloud, edge nodes an...
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10/03/2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead
Federated learning (FL) has attracted increasing attention as a promisin...
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08/03/2019