Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data

28 June 2021

Papers citing "Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data"

2 / 2 papers shown

Title
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning Michael Duchesne Kaiwen Zhang Talhi Chamseddine FedML 32 0 0 20 Apr 2024
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning Xiaopeng Yan Ziliang Chen Anni Xu Xiaoxi Wang Xiaodan Liang Liang Lin ObjD 160 446 0 28 Sep 2019