news
03/15/2023 | Our paper “AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving” has been accepted by MobiCom 2023! |
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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! |