FedAegis: Edge-based Byzantine-robust Federated Learning for Heterogeneous DataJan 1, 2022·Fangtong Zhou,Ruozhou Yu,Zhouyu Li,Huayue Gu,Xiaojian Wang· 0 min read CiteTypeConference paperPublicationGLOBECOM 2022-2022 IEEE Global Communications ConferenceLast updated on Jan 1, 2022 ← When and Why Do People Want Ad Targeting Explanations? Evidence from a Four-Week, Mixed-Methods Field Study Jan 1, 2023Image DePO: Towards Gradual Decentralization of Online Social Networks Using Decentralized Privacy Overlays Jan 1, 2022 →