Federated learning

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

Meng Hao, Hongwei Li, Xizhao Luo, Guowen Xu, Haomiao Yang, Sen Liu

Citations: 564 • 2019

Concept drift detection and adaptation for federated and continual learning

Fernando E. Casado, Dylan Lema, Marcos F. Criado, Roberto Iglesias, Carlos V. Regueiro, Senén Barro

Citations: 72 • 2021

Federated Learning in Robotic and Autonomous Systems

Xianjia Yu, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund

Citations: 69 • 2021

RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction

Eduardo Castelló Ferrer, Ognjen Rudovic, Thomas Hardjono, Alex Pentland

Citations: 36 • 2018

Knowledge-based Clustering Federated Learning for fault diagnosis in robotic assembly

Peng Xiao, Chuang Wang, Ze Lin, Gang Chen, Longhan Xie

Citations: 23 • 2024

RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction

Eduardo Castelló Ferrer, Ognjen Rudovic, Thomas Hardjono

Citations: 23 • 2018

A Joint Decentralized Federated Learning and Communications Framework for Industrial Networks

Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa, Mehdi Bennis

Citations: 22 • 2020

An Innovative Hashgraph-based Federated Learning Approach for Multi Domain 5G Network Protection

Hisham A. Kholidy, Riaad Kamaludeen

Citations: 13 • 2022

Federated Learning from Demonstration for Active Assistance to Smart Wheelchair Users

Fernando E. Casado, Yiannis Demiris

Citations: 8 • 2022

Towards Mobile Federated Learning with Unreliable Participants and Selective Aggregation

Leonardo Esteves, David Portugal, Paulo Peixoto, Gabriel Falcão

Citations: 7 • 2023

Concept Drift Detection and Adaptation for Robotics and Mobile Devices in Federated and Continual Settings

Fernando E. Casado, Dylan Lema, Roberto Iglesias, Carlos V. Regueiro, Senén Barro

Citations: 6 • 2020

Multi-Robot Privacy-Preserving Algorithms Based on Federated Learning: A Review

Jiansheng Peng, Jinsong Guo, Fengbo Bao, Chengjun Yang, Yong Xu, Yong Qin

Citations: 5 • 2023

Personalized Federated Learning of Driver Prediction Models for\n Autonomous Driving

Manabu Nakanoya, Junha Im, Hang Qiu, Sachin Katti, Marco Pavone, Sandeep Chinchali

Citations: 5 • 2021

HAFedL: A Hessian-Aware Adaptive Privacy Preserving Horizontal Federated Learning Scheme for IoT Applications

Jaya Sharma, Meetha V. Shenoy

Citations: 4 • 2024

FOGL: Federated Object Grasping Learning

Seok–Kyu Kang, Changhyun Choi

Citations: 4 • 2023

An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems.

Xianjia Yu, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund

Citations: 4 • 2021

Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models

Citations: 3 • 2024

Cross-Silo Federated Neural Architecture Search for Heterogeneous and Cooperative Systems

Yang Liu, Xinle Liang, Jiahuan Luo, Yuanqin He, Tianjian Chen, Quanming Yao, Qiang Yang

Citations: 3 • 2022

Poster: Towards Federated Embodied AI with FEAI

Leming Shen, Yuanqing Zheng

Citations: 2 • 2025

Revolutionizing electric robot charging infrastructure through federated transfer learning and data route optimization

Kadhim Hayawi, Junaid Sajid, Asad Waqar Malik, Zouheir Trabelsi

Citations: 1 • 2025