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Found 3 papers, 2 papers with code
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
By using MoLE existing linear-centric models can achieve SOTA LTSF results in 68% of the experiments that PatchTST reports and we compare to, whereas existing single-head linear-centric models achieve SOTA results in only 25% of cases.
Ranked #1 on
Time Series Forecasting
on Electricity (720)
Summary Statistic Privacy in Data Sharing
We study a setting where a data holder wishes to share data with a receiver, without revealing certain summary statistics of the data distribution (e. g., mean, standard deviation).
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training
We propose shadow learning, a framework for defending against backdoor attacks in the FL setting under long-range training.
