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Weirui Kuang

2 accepted papers

2023

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization

ICML 2023poster

Research in the field of hyperparameter optimization (HPO) has been greatly accelerated by existing HPO benchmarks. Nonetheless, existing efforts in benchmarking all focus on HPO for traditional learning paradigms while ignoring federated learning (FL), a promising paradigm for collaboratively learn…

2022

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning

NeurIPS 2022accept

Personalized Federated Learning (pFL), which utilizes and deploys distinct local models, has gained increasing attention in recent years due to its success in handling the statistical heterogeneity of FL clients. However, standardized evaluation and systematical analysis of diverse pFL methods remai…