RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

9 November 2018

Liping Li

Papers citing "RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets"

50 / 217 papers shown

Title
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things Yi Liu Ruihui Zhao Jiawen Kang A. Yassine Dusit Niyato Jia-Jie Peng FedML 72 35 0 08 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses Yi Liu Xingliang Yuan Ruihui Zhao Cong Wang Dusit Niyato Yefeng Zheng 33 5 0 08 Dec 2020
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions Shulei Ji Jing Luo Xinyu Yang MGen 13 125 0 13 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 60 1,179 0 04 Nov 2020
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? Manas Gaur Keyur Faldu A. Sheth 37 113 0 16 Oct 2020
GMH: A General Multi-hop Reasoning Model for KG Completion Yao Zhang Xu Zhang Adam Jatowt Wenqiang Lei Jun Wang Hongru Liang Zhenglu Yang LRM 14 13 0 15 Oct 2020
Secure and Fault Tolerant Decentralized Learning Saurav Prakash H. Hashemi Yongqin Wang M. Annavaram Salman Avestimehr FedML 51 10 0 15 Oct 2020
Garfield: System Support for Byzantine Machine Learning R. Guerraoui Arsany Guirguis El-Mahdi El-Mhamdi Anton Alexandre Ragot Sébastien Rouault FedML 18 2 0 12 Oct 2020
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference Guanglin Niu Bo-wen Li Yongfei Zhang Yongpan Sheng C. Shi Jingyang Li Shiliang Pu 14 4 0 06 Oct 2020
Clustering-based Unsupervised Generative Relation Extraction Chenhan Yuan Ryan Rossi Andrew Katz Hoda Eldardiry 19 4 0 26 Sep 2020
A Knowledge Graph based Approach for Mobile Application Recommendation Mingwei Zhang Jiawei Zhao Haipeng Dong Ke Deng Y. Liu 14 5 0 18 Sep 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data Jie Peng Zhaoxian Wu Qing Ling Tianyi Chen OOD FedML 29 23 0 17 Sep 2020
Rule-Guided Graph Neural Networks for Recommender Systems Xinze Lyu Guangyao Li Jiacheng Huang Wei Hu AI4CE 14 5 0 09 Sep 2020
Explainable Recommender Systems via Resolving Learning Representations Ninghao Liu Yong Ge Li Li Xia Hu Rui Chen Soo-Hyun Choi 24 24 0 21 Aug 2020
Toward Smart Security Enhancement of Federated Learning Networks Junjie Tan Ying-Chang Liang Nguyen Cong Luong Dusit Niyato AAML 36 38 0 19 Aug 2020
POP909: A Pop-song Dataset for Music Arrangement Generation Ziyu Wang K. Chen Junyan Jiang Yiyi Zhang Maoran Xu Shuqi Dai Xianbin Gu Gus Xia 23 137 0 17 Aug 2020
Learning Interpretable Representation for Controllable Polyphonic Music Generation Ziyu Wang Dingsu Wang Yixiao Zhang Gus Xia DRL 22 63 0 17 Aug 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 238 0 21 Jul 2020
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning Vaikkunth Mugunthan Ravi Rahman Lalana Kagal FedML 21 40 0 08 Jul 2020
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 34 534 0 03 Jul 2020
Learning Post-Hoc Causal Explanations for Recommendation Shuyuan Xu Yunqi Li Shuchang Liu Zuohui Fu Xu Chen Yongfeng Zhang CML 24 20 0 30 Jun 2020
Byzantine-Resilient High-Dimensional Federated Learning Deepesh Data Suhas Diggavi FedML AAML 21 41 0 22 Jun 2020
Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets Yanjie Dong G. Giannakis Tianyi Chen Julian Cheng Md. Jahangir Hossain Victor C. M. Leung FedML 22 14 0 17 Jun 2020
Artificial Musical Intelligence: A Survey Elad Liebman Peter Stone MGen 14 7 0 17 Jun 2020
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Praneeth Karimireddy Lie He Martin Jaggi FedML OOD 29 139 0 16 Jun 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 26 58 0 08 Jun 2020
Graph Representation Learning Network via Adaptive Sampling Anderson de Andrade Chen Cecilia Liu GNN 8 0 0 08 Jun 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 26 840 0 07 Jun 2020
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding Bilal Abu-Salih Marwan Al-Tawil Ibrahim Aljarah Hossam Faris P. Wongthongtham 28 59 0 02 Jun 2020
Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks Jie Peng Weiyu Li Qing Ling 6 19 0 12 May 2020
Text Recognition in the Wild: A Survey Xiaoxue Chen Lianwen Jin Yuanzhi Zhu Canjie Luo Tianwei Wang 3DV 32 103 0 07 May 2020
Towards Federated Learning With Byzantine-Robust Client Weighting Amit Portnoy Yoav Tirosh Danny Hendler FedML 29 11 0 10 Apr 2020
Reinforced Negative Sampling over Knowledge Graph for Recommendation Xiang Wang Yaokun Xu Xiangnan He Yixin Cao Meng Wang Tat-Seng Chua OffRL 19 181 0 12 Mar 2020
Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees Duy T. Nguyen Kathryn E. Kasmarik H. Abbass 6 8 0 10 Mar 2020
Dependently Typed Knowledge Graphs Zhangsheng Lai Aik Beng Ng Liang Ze Wong Simon See Shaowei Lin 13 0 0 08 Mar 2020
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 29 5 0 02 Mar 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 27 62 0 25 Feb 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability Yikai Yan Chaoyue Niu Yucheng Ding Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Zhihua Wu FedML 49 37 0 18 Feb 2020
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions K. Chen Gus Xia Shlomo Dubnov MGen 12 17 0 05 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 21 224 0 01 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 39 632 0 31 Dec 2019
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks Zhaoxian Wu Qing Ling Tianyi Chen G. Giannakis FedML AAML 32 181 0 29 Dec 2019
Attack-Resistant Federated Learning with Residual-based Reweighting Shuhao Fu Chulin Xie Bo-wen Li Qifeng Chen FedML AAML 35 93 0 24 Dec 2019
Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection Yuliang Liu Tong He Hao Chen Xinyu Wang Canjie Luo Shuaitao Zhang Chunhua Shen Lianwen Jin 33 4 0 20 Dec 2019
Knowledge-based Conversational Search Svitlana Vakulenko 19 13 0 14 Dec 2019
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations Prashant Khanduri Saikiran Bulusu Pranay Sharma P. Varshney 10 10 0 10 Dec 2019
Evaluation Metrics for Item Recommendation under Sampling Steffen Rendle 13 19 0 04 Dec 2019
Reasoning Over Paths via Knowledge Base Completion Saatviga Sudhahar Ian Roberts Andrea Pierleoni 14 2 0 01 Nov 2019
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 8 134 0 22 Oct 2019
Conceptualize and Infer User Needs in E-commerce Xusheng Luo Yanting Yang Kenny Q. Zhu Yu Gong Keping Yang 36 14 0 08 Oct 2019