FedLess: Secure and Scalable Federated Learning Using Serverless Computing

5 November 2021

Papers citing "FedLess: Secure and Scalable Federated Learning Using Serverless Computing"

23 / 23 papers shown

Title
Estimating the Capacities of Function-as-a-Service Functions Anshul Jindal Mohak Chadha S. Benedict Michael Gerndt ELM 53 13 0 27 Jan 2022
Towards Demystifying Intra-Function Parallelism in Serverless Computing M. Kiener Mohak Chadha Michael Gerndt 43 15 0 22 Oct 2021
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions Mohak Chadha Anshul Jindal Michael Gerndt 39 22 0 21 Jul 2021
Towards Demystifying Serverless Machine Learning Training Jiawei Jiang Shaoduo Gan Yue Liu Fanlin Wang Gustavo Alonso Ana Klimovic Ankit Singla Wentao Wu Ce Zhang 47 125 0 17 May 2021
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 150 119 0 09 Feb 2021
Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms Anshul Jindal Michael Gerndt Mohak Chadha Vladimir Podolskiy Pengfei Chen 73 38 0 03 Feb 2021
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning Hangyu Zhu Rui Wang Yaochu Jin K. Liang Jianting Ning FedML 62 47 0 25 Nov 2020
Flower: A Friendly Federated Learning Research Framework Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernandez-Marques ... Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 126 806 0 28 Jul 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 221 576 0 27 Jul 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 79 51 0 01 Apr 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 262 438 0 04 Mar 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 226 6,247 0 10 Dec 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 110 1,612 0 01 Nov 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 121 2,663 0 04 Feb 2019
A General Approach to Adding Differential Privacy to Iterative Training Procedures H. B. McMahan Galen Andrew Ulfar Erlingsson Steve Chien Ilya Mironov Nicolas Papernot Peter Kairouz 64 193 0 15 Dec 2018
A Hybrid Approach to Privacy-Preserving Federated Learning Stacey Truex Nathalie Baracaldo Ali Anwar Thomas Steinke Heiko Ludwig Rui Zhang Yi Zhou FedML 52 894 0 07 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 134 1,419 0 03 Dec 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 140 1,472 0 10 May 2018
Status of Serverless Computing and Function-as-a-Service(FaaS) in Industry and Research Geoffrey C. Fox Vatche Isahagian Vinod Muthusamy Aleksander Slominski 41 140 0 27 Aug 2017
EMNIST: an extension of MNIST to handwritten letters Gregory Cohen Saeed Afshar J. Tapson André van Schaik 63 720 0 17 Feb 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 429 18,346 0 27 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 392 17,453 0 17 Feb 2016
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 196 2,246 0 03 Dec 2015