fedavg implementation - SERP Analysis

https://github.com/naderAsadi/FedAvg

https://github.com/alexbie98/fedavg

https://www.kaggle.com/code/mdzarifhossain/federated-learning-with-pytorch-fedavg

https://epione.gitlabpages.inria.fr/flhd/federated_learning/FedAvg_FedProx_MNIST_iid_and_noniid.html

https://flower.ai/docs/framework/ref-api/flwr.server.strategy.FedAvg.html

https://towardsdatascience.com/federated-learning-a-simple-implementation-of-fedavg-federated-averaging-with-pytorch-90187c9c9577/

https://medium.com/%40entrepreneurbilal10/federated-learning-95d7a6435f08

https://www.tensorflow.org/federated/tutorials/building_your_own_federated_learning_algorithm

https://stackoverflow.com/questions/66472157/federated-averaging-implementation-in-python

https://www.researchgate.net/figure/The-implementation-process-of-FedAVG-17_fig3_382764470

https://flower.ai/blog/2023-01-12-fl-starter-pack-fedavg-mnist-cnn/

https://stackoverflow.com/questions/77596548/problem-in-implementing-fedavg-algorithm-in-tf

https://discuss.pytorch.org/t/issues-when-trying-to-implement-fedavg-using-torch-multiprocessing-pool/178290

http://kth.diva-portal.org/smash/record.jsf?pid=diva2:1617629

https://www.reddit.com/r/MachineLearning/comments/12xhm86/p_federated_learning_fl_implementation_in_pytorch/

https://paperswithcode.com/paper/scaffold-stochastic-controlled-averaging-for

https://ieeexplore.ieee.org/document/9829814

https://arxiv.org/html/2408.13010v1

https://royc30ne.xlog.page/fedavg?locale=en

https://www.researchgate.net/post/Client_samples_and_total_samples_in_FedAvg_in_the_federated_learning

https://openreview.net/forum?id=G3fswMh9P8y

https://odr.chalmers.se/bitstreams/bf4fac18-370a-4a4e-9272-21cbf20a3def/download

https://www.educative.io/answers/what-is-federated-averaging-fedavg

https://nvflare.readthedocs.io/en/2.6/examples/fl_algorithms.html

https://www.tensorflow.org/federated/api_docs/python/tff/learning/algorithms/build_weighted_fed_avg_with_optimizer_schedule

https://gitee.com/yquant/FedAvg

https://www.scaleoutsystems.com/post/fedn-framework-extensions

https://ieeexplore.ieee.org/document/10313468/

https://www.techscience.com/CMES/v140n2/56562/html

https://www.ghanaweb.com/GhanaHomePage/NewsArchive/Demystifying-Federated-Machine-Learning-A-practical-guide-with-PyTorch-1784660

https://www.ewadirect.com/proceedings/ace/article/view/14758

https://arxiv.org/html/2403.17287v1

https://medium.com/%40joemuthui18/day-2-understanding-and-implementing-federated-averaging-fedavg-e8d1d523b155

https://dcn.nat.fau.eu/federated-learning-protect-your-data-and-privacy/

https://milvus.io/ai-quick-reference/what-optimization-algorithms-are-used-in-federated-learning

https://www.mdpi.com/2079-9292/12/10/2287

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302539

https://apxml.com/courses/federated-learning/chapter-3-enhancing-privacy-federated-learning/practice-implementing-dp-fedavg

https://amirhosein-mesbah.github.io/project/federated/

https://www.linkedin.com/posts/jaeho3690_github-vaseline555federated-learning-pytorch-activity-7055702930712113152-xDD_

https://search.proquest.com/openview/3434183e25f99359b40add5bfd63bc10/1?pq-origsite=gscholar&cbl=2032404

https://www.sciopen.com/article/10.26599/TST.2024.9010184

https://odr.chalmers.se/items/ba6ce7bc-1b76-4533-bccd-1b326b9cdae3

https://www.sciencedirect.com/science/article/pii/S0167739X23003333

https://fedscale.ai/docs/tutorial/customization

https://fedlab.readthedocs.io/en/master/examples/quick_start.html

https://dl.acm.org/doi/10.1145/3603166.3632559

https://www.nature.com/articles/s41598-025-89873-6

https://ceur-ws.org/Vol-3340/paper40.pdf

https://www.computer.org/csdl/proceedings-article/percom-workshops/2021/09431080/1tROLRfwYgw

https://www.ndss-symposium.org/wp-content/uploads/aiscc2024-12-paper.pdf

https://www.jmlr.org/papers/volume24/21-0224/21-0224.pdf

https://paperswithcode.com/paper/auto-fedavg-learnable-federated-averaging-for

https://proceedings.mlr.press/v202/song23e/song23e.pdf

https://www.v7labs.com/blog/federated-learning-guide

https://ui.adsabs.harvard.edu/abs/2022arXiv220801826M/abstract

https://tomorrowdesk.com/info/fedprox

https://research.ibm.com/publications/fedexp-speeding-up-federated-averaging-via-extrapolation

https://pmc.ncbi.nlm.nih.gov/articles/PMC11487450/

https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1721&context=electricalengineeringfacpub

https://onlinelibrary.wiley.com/doi/10.1155/2024/5536615

https://openreview.net/forum?id=e7A0B99zJf&noteId=8Cm3V32pZe

https://kclpure.kcl.ac.uk/portal/files/172173635/Federated_Generalized_Bayesian_Learning_KASSAB_Publishedonline26April2022_GREEN_AAM.pdf

https://www.adomonline.com/demystifying-federated-machine-learning-a-practical-guide-with-pytorch/

https://en.wikipedia.org/wiki/Federated_learning

https://www.youtube.com/watch?v=zmZvv4IHP3o

https://aisecurity-portal.org/en/literature-database/a-new-implementation-of-federated-learning-for-privacy-and-security-enhancement/

https://federatedscopeteam.github.io/docs/algozoo/

https://openaccess.thecvf.com/content/CVPR2024/supplemental/Wang_An_Aggregation-Free_Federated_CVPR_2024_supplemental.pdf

https://mm.aueb.gr/publications/04635c81-4775-47e4-a8e8-30a888c8ba13.pdf

https://www.jacr.org/article/S1546-1440(22)00281-2/pdf

https://www.kaggle.com/code/nechbamohammed/the-flower-federated-learning-tutorial-part-1

https://www.sciencedirect.com/science/article/pii/S2405844024141680

https://www.mdpi.com/1999-5903/15/11/358

https://penni.wu.ac.at/supervision/Aleksandr%20Aronikov%20Master%20Thesis%202024.pdf

https://shaoxiongji.github.io/federated-learning/

http://ui.adsabs.harvard.edu/abs/2023arXiv230109604J/abstract

https://www.linkedin.com/posts/seokju-hahn_github-vaseline555federated-learning-pytorch-activity-7055550743038078976-S0bQ

https://www.jmlr.org/papers/volume24/22-0153/22-0153.pdf

https://fedscale.ai/leaderboard/aggregation.html

https://www.diva-portal.org/smash/get/diva2:1637440/FULLTEXT01.pdf

https://research.google/blog/federated-learning-with-formal-differential-privacy-guarantees/

https://michaelfeil.eu/academicpages/projects/projects-995-blog-fedavg-vs-fedpa-gd/

https://docs.scaleoutsystems.com/en/v0.9.4/aggregators.html

https://papers.neurips.cc/paper_files/paper/2022/file/449590dfd5789cc7043f85f8bb7afa47-Paper-Conference.pdf

https://staff.fnwi.uva.nl/a.s.z.belloum/MSctheses/MSchesis_Leyu-Liu.pdf

https://proceedings.mlr.press/v130/fraboni21a.html

https://hal.science/hal-03601230/document

https://elib.uni-stuttgart.de/items/1d446a31-e467-4197-8ac2-7fa6e222ee99

https://dl.acm.org/doi/10.1145/3533708

https://www.ri.cmu.edu/app/uploads/2023/05/ziyuliu-msr-thesis.pdf

https://www.nature.com/articles/s41598-022-05539-7

https://gitee.com/literature-codes/fed-avg

https://digitalcommons.unl.edu/electricalengineeringfacpub/727/

https://www.biorxiv.org/content/10.1101/2023.10.04.560604v1.full-text

https://www.pyxida.aueb.gr/items/14f38da3-d5e6-4220-af6e-666116d713f4

https://uwm.edu/undergraduate-research/projects/personalized-federated-learning-case-study-and-preliminary-experiments/

https://www.catalyzex.com/paper/fedeval-a-benchmark-system-with-a

https://www.georgejpappas.org/wp-content/uploads/2021/12/NeurIPS-2021-linear-convergence-in-federated-learning-tackling-client-heterogeneity-and-sparse-gradients-Paper.pdf