Fetching the paper…
Reading the bibliography…
Federated learning (FL) and split learning (SL) are state-of-the-art distributed machine learning techniques to enable machine learning training without accessing raw data on clients or end devices.
The impact of the mit-bih arrhythmia database
George B Moody and Roger G Mark · 2001
Earlier work this paper cites.
Splitfed: When federated learning meets split learning
Chandra Thapa, M. A. P. Chamikara, and Seyit Camtepe · 2004
Earlier work this paper cites.
Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
Earlier work this paper cites.
Chandra Thapa, M. A. P. Chamikara, and Seyit Camtepe · 2011
Earlier work this paper cites.
Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
Earlier work this paper cites.
Real-time patient-specific ecg classification by 1-d convolutional neural networks
Serkan Kiranyaz, Turker Ince, and Moncef Gabbouj · 2015
Earlier work this paper cites.
Deep learning approach for network intrusion detection in software defined networking
Tuan A Tang, Lotfi Mhamdi, Des McLernon, Syed Ali Raza Zaidi, and Mounir Ghogho · 2016
Earlier work this paper cites.
Communication-efficient learning of deep networks from decentralized data
H Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, et al · 2016
Earlier work this paper cites.
Adversary resistant deep neural networks with an application to malware detection
Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G Ororbia II, Xinyu Xing, Xue Liu, and C Lee Giles · 2017
Earlier work this paper cites.
A survey of algorithms and analysis for adaptive online learning
H. Brendan McMahan · 2017
Earlier work this paper cites.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
Earlier work this paper cites.
Classification of ECG signals based on 1D convolution neural network
Dan Li, Jianxin Zhang, Qiang Zhang, and Xiaopeng Wei · 2017
Cited alongside, same era.
Distributed learning of deep neural network over multiple agents
Otkrist Gupta and Ramesh Raskar · 2018
Cited alongside, same era.
No peek: A survey of private distributed deep learning
Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, and Abhimanyu Dubey · 2018
Cited alongside, same era.
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, and Ramesh Raskar · 2018
Cited alongside, same era.
A survey on resource management in IoT operating systems
Arslan Musaddiq, Yousaf Bin Zikria, Oliver Hahm, Heejung Yu, Ali Kashif Bashir, and Sung Won Kim · 2018
Cited alongside, same era.
1D Convolutional Neural Networks and Applications: A Survey
Serkan Kiranyaz, Onur Avci, Osama Abdeljaber, Turker Ince, Moncef Gabbouj, and Daniel J Inman · 2019
Later among the works it cites.
Dïot: A federated self-learning anomaly detection system for iot
Thien Duc Nguyen, Samuel Marchal, Markus Miettinen, Hossein Fereidooni, N Asokan, and Ahmad-Reza Sadeghi · 2019
Later among the works it cites.
Detailed comparison of communication efficiency of split learning and federated learning
Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, and Ramesh Raskar · 2019
Later among the works it cites.
A comprehensive survey on internet of things (iot) toward 5g wireless systems
Lalit Chettri and Rabindranath Bera · 2019
Later among the works it cites.
Safa: a semi-asynchronous protocol for fast federated learning with low overhead
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
Li Huang, Andrew L Shea, Huining Qian, Aditya Masurkar, Hao Deng, and Dianbo Liu · 2019
Cited alongside, same era.
The seven sins of personal-data processing systems under GDPR
Supreeth Shastri, Melissa Wasserman, and Vijay Chidambaram · 2019
Cited alongside, same era.
Towards Federated Learning at Scale: System Design
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, and Jason Roselander · 2019
Cited alongside, same era.
Deep Learning With Edge Computing: A Review
Jiasi Chen and Xukan Ran · 2019
Cited alongside, same era.
Federated learning: Challenges, methods, and future directions
Tian Li, Anit Kumar Sahu, Ameet Talwalkar, and Virginia Smith · 2019
Cited alongside, same era.
InvenSense Announces World’s Smallest, Lowest Power I2S Microphone for IoT and Wearable Markets
Cited in the paper.
Amazon Alexa User Receives 1,700 Audio Recordings of a Stranger through ‘Human Error’
Cited in the paper.
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, and Stephen A Jarvis · 2020
Later among the works it cites.
Efficient federated learning for cloud-based aiot applications
Xinqian Zhang, Ming Hu, Jun Xia, Tongquan Wei, Mingsong Chen, and Shiyan Hu · 2020
Later among the works it cites.
End-to-end evaluation of federated learning and split learning for internet of things
Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit A Camtepe, Hyoungshick Kim, and Surya Nepal · 2020
Later among the works it cites.
General data protection regulation
Europe · 2021
Closest in time.
California privacy rights act
United States · 2021
Closest in time.
Federated learning of a recurrent neural network on raspberry pis
OpenMined · 2021
Closest in time.