Cho, Yae Jee

6 publications

TMLR 2024 Maximizing Global Model Appeal in Federated Learning Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi

NeurIPSW 2023 Heterogeneous LoRA for Federated Fine-Tuning of On-Device Foundation Models Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Matt Barnes, Gauri Joshi

ICCV 2023 Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis

ICML 2023 On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang

IJCAI 2022 Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

NeurIPSW 2022 To Federate or Not to Federate: Incentivizing Client Participation in Federated Learning Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi