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Rong Dai

2 accepted papers

2024

Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

ICLR 2024poster

One-shot Federated Learning (OFL) has become a promising learning paradigm, enabling the training of a global server model via a single communication round. In OFL, the server model is aggregated by distilling knowledge from all client models (the ensemble), which are also responsible for synthesizi…

2022

DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training

ICML 2022spotlight

Personalized federated learning is proposed to handle the data heterogeneity problem amongst clients by learning dedicated tailored local models for each user. However, existing works are often built in a centralized way, leading to high communication pressure and high vulnerability when a failure o…