FedScale-Reference-Cited by-同舟云学术

FedScale

Published:2021-10-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning
language:
Short-container-title:

Author:

Lai Fan¹,Dai Yinwei¹,Zhu Xiangfeng¹,Madhyastha Harsha V.¹,Chowdhury Mosharaf¹

Affiliation:

1. University of Michigan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477114.3488760

Reference21 articles.

1. AI Benchmark: All About Deep Learning on Smartphones. http://aibenchmark.com/ranking_deeplearning_detailed.html. AI Benchmark: All About Deep Learning on Smartphones. http://aibenchmark.com/ranking_deeplearning_detailed.html.

2. Fox Go Dataset. https://github.com/featurecat/go-dataset. Fox Go Dataset. https://github.com/featurecat/go-dataset.

3. Google Open Images Dataset. https://storage.googleapis.com/openimages/web/index.html. Google Open Images Dataset. https://storage.googleapis.com/openimages/web/index.html.

4. MobiPerf. https://www.measurementlab.net/tests/mobiperf/. MobiPerf. https://www.measurementlab.net/tests/mobiperf/.

5. PySyft. https://github.com/OpenMined/PySyft. PySyft. https://github.com/OpenMined/PySyft.

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1. Adaptive device sampling and deadline determination for cloud-based heterogeneous federated learning;Journal of Cloud Computing;2023-11-03

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3. FedEHR: A Federated Learning Approach towards the Prediction of Heart Diseases in IoT-Based Electronic Health Records;Diagnostics;2023-10-10

4. FLAGS Simulation Framework for Federated Learning Algorithms;2023 14th International Conference on Network of the Future (NoF);2023-10-04

5. DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning;2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON);2023-09-11