Federated Learning Framework with Straggling Mitigation and
Privacy-Awareness for AI-based Mobile Application Services

Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services

17 June 2021

Diep N. Nguyen

Papers citing "Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services"

7 / 7 papers shown

Title
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks Saurav Prakash S. Dhakal M. Akdeniz Yair Yona S. Talwar Salman Avestimehr N. Himayat FedML 90 92 0 12 Nov 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions Yi Liu Lizhen Qu Zehui Xiong Jiawen Kang Xiaofei Wang Dusit Niyato FedML AI4CE 42 280 0 04 Jun 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness Jinke Ren Yinghui He Dingzhu Wen Guanding Yu Kaibin Huang Dongning Guo 64 194 0 01 Apr 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 104 171 0 28 Jan 2020
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism L. U. Khan Shashi Raj Pandey Nguyen H. Tran Walid Saad Zhu Han Minh N. H. Nguyen Choong Seon Hong FedML 50 380 0 06 Nov 2019
Reliable Federated Learning for Mobile Networks Jiawen Kang Zehui Xiong Dusit Niyato Y. Zou Yang Zhang Mohsen Guizani FedML 50 461 0 14 Oct 2019
Joint Service Pricing and Cooperative Relay Communication for Federated Learning Shaohan Feng Dusit Niyato Ping Wang Dong In Kim Ying-Chang Liang FedML 50 106 0 29 Nov 2018