news
| 04/27/2023 | Our research paper titled “Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction” has been accepted for presentation at ICML 2023. |
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| 04/25/2023 | I am beyond thrilled to share that I have been selected as one of the two recipients for the ECE Department Outstanding Ph.D. Dissertation Award for the academic year 22-23 at Duke University! |
| 03/15/2023 | Our paper “AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving” has been accepted by MobiCom 2023! |
| 10/10/2022 | Our paper “FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices” has been accepted by SenSys 2022! |
| 10/01/2022 | Our paper “GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs” has been accepted by ICDM 2022! |