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!
07/15/2022 Very honored to co-chair the 3rd DistributedML workshop co-located with CoNEXT 2022. We welcome works at the intersection of distributed systems, machine learning, and networks, submission date is 09/16/2022. Participation is highly encouraged, see you there!