Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems

16 October 2020

Papers citing "Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems"

5 / 5 papers shown

Title
Encoded Spatial Attribute in Multi-Tier Federated Learning Asfia Kawnine Francis Palma Seyed Alireza Rahimi Azghadi Hung Cao FedML 42 0 0 10 Jan 2025
Liquid-Graph Time-Constant Network for Multi-Agent Systems Control Antonio Marino C. Pacchierotti P. Giordano 27 1 0 22 Apr 2024
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL Iyer Venkataraman Natarajan 20 8 0 01 Jan 2024
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 27 73 0 21 Aug 2023
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning Javier Yu Joseph A. Vincent Mac Schwager 35 35 0 17 Sep 2021