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FedEdge@MobiCom 2022: Sydney, NSW, Australia
- Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, FedEdge 2022, Sydney, New South Wales, Australia, 17 October 2022. ACM 2022, ISBN 978-1-4503-9521-2
- Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane:
Protea: client profiling within federated systems using flower. 1-6 - Amna Arouj, Ahmed M. Abdelmoniem:
Towards energy-aware federated learning on battery-powered clients. 7-12 - Huan Zou, Yuchao Zhang, Xirong Que, Yilei Liang, Jon Crowcroft:
Efficient federated learning under non-IID conditions with attackers. 13-18 - Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu:
Model elasticity for hardware heterogeneity in federated learning systems. 19-24 - Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou, Lik-Hang Lee, Abbas Mehrabi, Pan Hui, Sasu Tarkoma, Jon Crowcroft:
Federated split GANs. 25-30
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