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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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05/14/2023
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
Self-supervised learning (SSL) speech models such as wav2vec and HuBERT ...
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02/21/2023
Fusion of Global and Local Knowledge for Personalized Federated Learning
Personalized federated learning, as a variant of federated learning, tra...
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01/27/2022
Achieving Personalized Federated Learning with Sparse Local Models
Federated learning (FL) is vulnerable to heterogeneously distributed dat...
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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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06/10/2021
PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing
As a key technology in the 5G era, Mobile Edge Computing (MEC) has devel...
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02/10/2021
Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply
With astonishing speed, bandwidth, and scale, Mobile Edge Computing (MEC...
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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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11/17/2020
Stochastic Client Selection for Federated Learning with Volatile Clients
Federated Learning (FL), arising as a novel secure learning paradigm, ha...
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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
