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:
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, et al.
(2024)
Open Access | Times Cited: 7
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, et al.
(2024)
Open Access | Times Cited: 7
Showing 7 citing articles:
AtlasFL: A Federated Learning Workload Generator with Energy and Carbon Emission Support
Moysis Symeonides, Demetris Trihinas
(2025), pp. 13-18
Closed Access
Moysis Symeonides, Demetris Trihinas
(2025), pp. 13-18
Closed Access
Minimizing the Carbon Footprint of Machine Learning Techniques through Sustainable AI Training Methods
K. Jegadeeswari, R. Rathipriya
Advances in computational intelligence and robotics book series (2025), pp. 177-200
Closed Access
K. Jegadeeswari, R. Rathipriya
Advances in computational intelligence and robotics book series (2025), pp. 177-200
Closed Access
Improving communication performance of Federated Learning: A networking perspective
Marica Amadeo, Claudia Campolo, Giuseppe Ruggeri, et al.
Computer Networks (2025), pp. 111353-111353
Closed Access
Marica Amadeo, Claudia Campolo, Giuseppe Ruggeri, et al.
Computer Networks (2025), pp. 111353-111353
Closed Access
Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review
Filippo Sanfilippo, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Energy and AI (2024) Vol. 18, pp. 100438-100438
Open Access | Times Cited: 2
Filippo Sanfilippo, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Energy and AI (2024) Vol. 18, pp. 100438-100438
Open Access | Times Cited: 2
Digital Twins: Case Study of Energy Metaverse and Edge-Cloud Integration
Ali Aghazadeh Ardebili, Angelo Martella, Cristian Martella, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 5476-5485
Closed Access | Times Cited: 1
Ali Aghazadeh Ardebili, Angelo Martella, Cristian Martella, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 5476-5485
Closed Access | Times Cited: 1
Rethinking Low-Carbon Edge Computing System Design with Renewable Energy Sharing
Hanlong Liao, Guoming Tang, Deke Guo, et al.
(2024), pp. 950-960
Open Access
Hanlong Liao, Guoming Tang, Deke Guo, et al.
(2024), pp. 950-960
Open Access
Reducing Carbon Footprint in AI: A Framework for Sustainable Training of Large Language Models
Samra Iftikhar, Steven Davy
Lecture notes in networks and systems (2024), pp. 325-336
Closed Access
Samra Iftikhar, Steven Davy
Lecture notes in networks and systems (2024), pp. 325-336
Closed Access
Energy-efficient Federated Learning with Dynamic Model Size Allocation
Manoj Kumar, Sai Satya Narayana J, Yunkai Bao, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8737-8741
Closed Access
Manoj Kumar, Sai Satya Narayana J, Yunkai Bao, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8737-8741
Closed Access
Vessim: A Testbed for Carbon-Aware Applications and Systems
Philipp Wiesner, Ilja Behnke, Paul Kilian, et al.
ACM SIGEnergy Energy Informatics Review (2024) Vol. 4, Iss. 5, pp. 59-66
Closed Access
Philipp Wiesner, Ilja Behnke, Paul Kilian, et al.
ACM SIGEnergy Energy Informatics Review (2024) Vol. 4, Iss. 5, pp. 59-66
Closed Access
