Flame: Simplifying Topology Extension in Federated Learning

9 May 2023

Papers citing "Flame: Simplifying Topology Extension in Federated Learning"

6 / 6 papers shown

Title
LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning Shixiong Qi K. K. Ramakrishnan Myungjin Lee 27 2 0 05 May 2024
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification Faisal Ahmed Myungjin Lee Suresh Subramaniam Motoharu Matsuura Hiroshi Hasegawa Shih-Chun Lin FedML 32 0 0 11 Apr 2024
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study Gustav A. Baumgart Jaemin Shin Ali Payani Myungjin Lee Ramana Rao Kompella FedML 34 6 0 26 Mar 2024
A Comprehensive Empirical Study of Bugs in Open-Source Federated Learning Frameworks Weijie Shao Yuyang Gao Fu Song Sen Chen Lingling Fan JingZhu He FedML 33 0 0 09 Aug 2023
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 113 137 0 08 Nov 2021
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 566 0 27 Jul 2020