FedEdge@MobiCom

Publications

2023

Jiachen Li, Yuchao Zhang, Yiping Li, Xiangyang Gong, Wendong Wang
Gradient Calibration for Non-I.I.D. Federated Learning. FedEdge@MobiCom (2023)
Harshit Daga, Ada Gavrilovska
Multi-mode Learning: Not One Learning Mode is Strictly Better than the Other. FedEdge@MobiCom (2023)
Canshu Lin, Dongbiao He, Zhongxing Ming, Laizhong Cui
Felinet: Accelerating Federated Learning Convergence in Heterogeneous Edge Networks. FedEdge@MobiCom (2023)
Proceedings of the 2nd ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, FedEdge 2023, Madrid, Spain, 6 October 2023 FedEdge@MobiCom (2023)
Olga Saukh
Escaping Adversarial Attacks with Egyptian Mirrors. FedEdge@MobiCom (2023)
Xintong Lu, Yuchao Zhang, Huan Zou, Yilei Liang, Wendong Wang, Jon Crowcroft
FedCOM: Efficient Personalized Federated Learning by Finding Your Best Peers. FedEdge@MobiCom (2023)

2022