FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications

20 December 2023

Papers citing "FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications"

4 / 4 papers shown

Title
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 48 5 0 17 Sep 2024
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation Shourya Bose Yu Zhang Kibaek Kim 11 3 0 21 Nov 2023
Federated Learning Challenges and Opportunities: An Outlook Jie Ding Eric W. Tramel Anit Kumar Sahu Shuang Wu Salman Avestimehr Tao Zhang FedML 26 53 0 01 Feb 2022
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 81 84 0 07 Feb 2018