Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Federated Learning in Robotic and Autonomous Systems
Xianjia Yu, Jorge Peña Queralta, Jukka Heikkonen, et al.
Procedia Computer Science (2021) Vol. 191, pp. 135-142
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Manipulator Control using Federated Deep Reinforcement Learning
Sabyasachi Shivkumar, A. A. Nippun Kumaar
2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (2024), pp. 1-6
Closed Access | Times Cited: 1
A comprehensive analysis of model poisoning attacks in federated learning for autonomous vehicles: A benchmark study
Suzan Almutairi, Ahmed Barnawi
Results in Engineering (2024) Vol. 24, pp. 103295-103295
Closed Access | Times Cited: 1
Federated Learning for Vision-based Obstacle Avoidance in the Internet of Robotic Things
Xianjia Yu, Jorge Peña Queralta, Tomi Westerlund
(2022), pp. 1-6
Open Access | Times Cited: 6
A Collaborative Control Scheme for Smart Vehicles Based on Multi-Agent Deep Reinforcement Learning
Liyan Shi, Hairui Chen
IEEE Access (2023) Vol. 11, pp. 96221-96234
Open Access | Times Cited: 3
Application of Serverless Computing in Blockchain Distributed Technology
Natarajan Chellasamy, Faiz Akram, Nichenametla Rajesh, et al.
(2023), pp. 115-118
Closed Access | Times Cited: 2
Enhancing Robotic Autonomy and Deep Reinforcement Learning Applications
Ridhima Goel, Jagdeep Singla
Advances in logistics, operations, and management science book series (2024), pp. 295-312
Closed Access
A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward
Abdul Majeed, Seong Oun Hwang
IEEE Access (2024) Vol. 12, pp. 84643-84679
Open Access
A Federated Learning Secure Encryption Framework for Autonomous Systems
Venkatraman Balasubramanian, Moayad Aloqaily, Mohsen Guizani
ICC 2022 - IEEE International Conference on Communications (2024), pp. 2197-2203
Closed Access
Proximal Control of UAVs With Federated Learning for Human-Robot Collaborative Domains
Lucas da Nóbrega, Ewerton L. S. Oliveira, Martin Saska, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 12, pp. 11305-11312
Open Access
Fundamentals of Edge AI and Federated Learning
Atefeh Hemmati, Hanieh Mohammadi Arzanagh, Amir Masoud Rahmani
(2024), pp. 1-23
Closed Access
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning
Kin Wai Lau, Yasar Abbas Ur Rehman, Pedro Gusmao, et al.
Lecture notes in computer science (2024), pp. 74-90
Closed Access
FOGL: Federated Object Grasping Learning
Seok–Kyu Kang, Changhyun Choi
(2023), pp. 5851-5857
Closed Access | Times Cited: 1
Distributed Regression by Two Agents from Noisy Data
Aneesh Raghavan, Karl Henrik Johansson
2022 European Control Conference (ECC) (2023), pp. 1-6
Closed Access | Times Cited: 1
When Robotics Meets Distributed Learning: the Federated Learning Robotic Network Framework
Roberto Aparici Marino, Lorenzo Carnevale, Massimo Villari
2022 IEEE Symposium on Computers and Communications (ISCC) (2023), pp. 1-6
Closed Access | Times Cited: 1
A Hybrid Federated Reinforcement Learning Approach for Networked Robots
Gayathri Rangu, Divya D. Kulkarni, Jayprakash S. Nair, et al.
Lecture notes in electrical engineering (2023), pp. 493-500
Closed Access | Times Cited: 1
Multi-Robot Privacy-Preserving Algorithms Based on Federated Learning: A Review
Jiansheng Peng, Jinsong Guo, Fengbo Bao, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 3, pp. 2971-2994
Open Access | Times Cited: 1
You Are Not Alone: Towards Cleaning Robot Navigation in Shared Environments through Deep Reinforcement Learning
Reinis Cimurs, Vilnis Turkovs, Martins Banis, et al.
Algorithms (2023) Vol. 16, Iss. 9, pp. 412-412
Open Access
Federated Continual Learning for Socially Aware Robotics
Luke Guerdan, Hatice Güneş
(2023), pp. 1522-1529
Open Access
Enhancing Real-Time Training of Heterogeneous UAVs Using a Federated Teacher-Student Self-Training Framework
Piyush Nikam, Dhruv Shah, Aryan Sahu, et al.
MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) (2023), pp. 870-875
Closed Access
Make Federated Learning a Standard in Robotics by Using ROS2
Roberto Aparici Marino, Lorenzo Carnevale, Maria Fazio, et al.
(2023), pp. 1-6
Open Access
Aggregation Mechanisms in Federated Learning for Enhancing Robotic Visual Obstacle Avoidance
Haizhou Zhang, Qianyu Cheng, Xiong Chen
(2023), pp. 143-148
Closed Access
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