16 citations · 24 across the 8 of their papers we have counts for
3 papers · 1 filter
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization
Achintya Kundu, Pengqian Yu, Laura Wynter +1
We present a class of methods for robust, personalized federated learning, called Fed+, that unifies many federated learning algorithms. The principal advantage of this class of me…
Variational Bayesian Inference for Crowdsourcing Predictions
Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim +1
Crowdsourcing has emerged as an effective means for performing a number of machine learning tasks such as annotation and labelling of images and other data sets. In most early sett…
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control
Supriyo Ghosh, Sean Laguna, Shiau Hong Lim +2
Air traffic control is an example of a highly challenging operational problem that is readily amenable to human expertise augmentation via decision support technologies. In this pa…