The following publications are possibly variants of this publication:
- Joint Optimization of Task Offloading and Resource Allocation via Deep Reinforcement Learning for Augmented Reality in Mobile Edge NetworkXing Chen, Guizhong Liu. edge 2020: 76-82 [doi]
- FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge ComputingPaul Agbaje, Afia Anjum, Zahidur Talukder, Mohammad A. Islam 0001, Ebelechukwu Nwafor, Habeeb Olufowobi. edge 2023: 215-220 [doi]
- Computationally Efficient Auto-Weighted Aggregation for Heterogeneous Federated LearningZahidur Talukder, Mohammad A. Islam 0001. edge 2022: 12-22 [doi]
- Accelerating the Decentralized Federated Learning via Manipulating EdgesMingyang Zhou 0001, Gang Liu, Kezhong Lu, Rui Mao 0001, Hao Liao. WWW 2024: 2945-2954 [doi]
- Communication-Efficient and Attack-Resistant Federated Edge Learning With Dataset DistillationYanlin Zhou, Xiyao Ma, Dapeng Oliver Wu, Xiaolin Li 0001. tcc, 11(3):2517-2528, July - September 2023. [doi]