A Comprehensive Benchmark of Trustworthiness in Medical Vision ...
Our model undergoes training on a combination of datasets, including the Pile training dataset (Gao et al., 2020), BookCorpus (Zhu et al., 2015) ...
CoCA: Fusing Position Embedding with Collinear Constrained ...The rise of Federated Learning (FL) is bringing machine learning to edge computing by utiliz- ing data scattered across edge devices. However,. Resilient and Communication Efficient Learning for Heterogeneous ...Abstract. Federated Learning (FL) is a decentralized machine-learning paradigm in which a global server iteratively aggregates the model parameters. Data-Free Knowledge Distillation for Heterogeneous Federated ...Reinforcement learning (RL) has demonstrated its superior- ity in solving sequential decision-making problems. How- ever, heavy dependence on immediate ...
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