Papers citing "Industry-Scale Orchestrated Federated Learning for Drug Discovery"

16 / 16 papers shown

Title
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 150 0 0 23 Nov 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Qiqi Liu Qicheng Lao Han Yu FedML 71 4 0 25 Oct 2024
Collaborative Drug Discovery: Inference-level Data Protection Perspective Balázs Pejó Mina Remeli Adam Arany M. Galtier G. Ács 62 3 0 13 May 2022
SparseChem: Fast and accurate machine learning model for small molecules Adam Arany Jaak Simm M. Oldenhof Yves Moreau 31 7 0 09 Mar 2022
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 114 437 0 14 Mar 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 103 224 0 14 Jan 2021
A Principled Approach to Data Valuation for Federated Learning Tianhao Wang Johannes Rausch Ce Zhang R. Jia Basel Alomair FedML TDI 43 193 0 14 Sep 2020
Quality Inference in Federated Learning with Secure Aggregation Balázs Pejó G. Biczók FedML 66 21 0 13 Jul 2020
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 123 4,517 0 21 Aug 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 97 2,207 0 21 Jun 2019
Together or Alone: The Price of Privacy in Collaborative Learning Balázs Pejó Qiang Tang G. Biczók FedML 54 16 0 01 Dec 2017
Knock Knock, Who's There? Membership Inference on Aggregate Location Data Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro MIACV 111 270 0 21 Aug 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 261 4,135 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 107 1,807 0 09 Sep 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016
Multi-task Neural Networks for QSAR Predictions George E. Dahl Navdeep Jaitly Ruslan Salakhutdinov 113 277 0 04 Jun 2014