22 citations · 64 across the 34 of their papers we have counts for
4 papers · 2 filters
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning
Jiahao Tan, Yipeng Zhou, Gang Liu +2
The federated learning (FL) paradigm emerges to preserve data privacy during model training by only exposing clients' model parameters rather than original data. One of the biggest…
A Survey of Federated Evaluation in Federated Learning
Behnaz Soltani, Yipeng Zhou, Venus Haghighi +1
In traditional machine learning, it is trivial to conduct model evaluation since all data samples are managed centrally by a server. However, model evaluation becomes a challenging…
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
Yunchao Yang, Yipeng Zhou, Miao Hu +2
Federated learning (FL) is a prospective distributed machine learning framework that can preserve data privacy. In particular, cross-silo FL can complete model training by making i…
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
Jiahao Liu, Jiang Wu, Jinyu Chen +3
Different from conventional federated learning, personalized federated learning (PFL) is able to train a customized model for each individual client according to its unique require…