Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity

20 December 2023

Papers citing "Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity"

5 / 5 papers shown

Title
Federated Self-supervised Learning for Heterogeneous Clients Disha Makhija Nhat Ho Joydeep Ghosh FedML 30 25 0 25 May 2022
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Chaoyang He Zhengyu Yang Erum Mushtaq Sunwoo Lee Mahdi Soltanolkotabi A. Avestimehr FedML 90 36 0 06 Oct 2021
An Information-Theoretic Justification for Model Pruning Berivan Isik Tsachy Weissman Albert No 81 35 0 16 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 936 0 03 Feb 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 756 0 28 Sep 2019