FL-NeurIPS 2022 : International Workshop on Federated Learning: Recent Advances and New Challenges in Conjunction with NeurIPS 2022
For questions, please contact: flfm-neurips-2023@googlegroups.com [Proceedings and Dual Submission Policy] Our workshop does not have formal proceedings, i.e., it is non-archival. Accepted papers will be available in public on OpenReview together with the reviewers' comments. Revisions to accept...
Device Heterogeneity Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NeurIPS 2021(KAIST) HomePage Towards Flexible Device Participation in Federated Learning AISTATS 2021(CMU; Sun Yat-Sen University) videoSupplementary Asynchronous Federated Optimization 12th Annual Workshop on Optimi...
从某种角度而言,隐私保护已然成为促进社会经济发展的重要部分,各大会议也将其列为讨论重点,其中NeurIPS、CCS等已连续四年举办了隐私保护机器学习(Privacy Preserving Machine Learning,简称PPML)的WorkShop(PPML'18 @ NeurIPS、PPML'19 @ CCS、PPML'20 @ NeurIPS、PPML'21 @ CCS),探讨研究隐私保护下的机器学习实现方...
MIFAlinkNeurIPS 2021 PowerofChoicelinkarxiv FedGSlinkAAAI 2023 ClusteredSamplinglinkICML 2021 Capacity Heterogeneity FLGo supports flexible combinations of benchmarks, partitioners, algorithms and simulators , which are independent to each other and thus can be used like plugins. We have provided these...
In: Third Workshop on Bayesian Deep Learning (NeurIPS) (2018) Google Scholar Li, L., Xiong, H., Guo, Z., Wang, J., Xu, C.: Smartpc: hierarchical pace control in real-time federated learning system. In: 2019 IEEE Real-Time Systems Symposium (RTSS) (2019) Google Scholar Hamblen...
In general, FedML source code architecture follows the paper which won Best Paper Award at NeurIPS 2020 (FL workshop). Its original idea is presented at the live video and white paper by FedML co-founder Dr. Chaoyang He. After March 2022, FedML has been upgraded as an AI company which ...
Available online: https://proceedings.neurips.cc/paper/2019/hash/60a6c4002cc7b29142def8871531281a-Abstract.html (accessed on 15 August 2024). Park, J.; Lim, H. Privacy-preserving federated learning using homomorphic encryption. Appl. Sci. 2022, 12, 734. [Google Scholar] [CrossRef] Sun, L...
NeurIPS 2019 Workshop on Federated Learning (distinguished student paper award). (*equal contribution) If you find this repository useful, please cite our paper: @article{liang2020think, title={Think locally, act globally: Federated learning with local and global representations}, author={Liang, Pa...
Device Heterogeneity Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NeurIPS 2021(KAIST) HomePage Towards Flexible Device Participation in Federated Learning AISTATS 2021(CMU; Sun Yat-Sen University) videoSupplementary Asynchronous Federated Optimization 12th Annual Workshop on Optimi...