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
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation Yuntao Du Xinjun Zhu Lu Chen Ziquan Fang Yunjun Gao VLM OffRL 29 47 0 08 Feb 2022
Byzantine-Robust Decentralized Learning via ClippedGossip Lie He Sai Praneeth Karimireddy Martin Jaggi FedML 38 16 0 03 Feb 2022
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs Hongwei Jin Xun Chen 31 9 0 01 Feb 2022
Explainability in Music Recommender Systems Darius Afchar Alessandro B. Melchiorre Markus Schedl Romain Hennequin Elena V. Epure Manuel Moussallam 34 48 0 25 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 28 398 0 20 Jan 2022
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams Dongjie Wang Kunpeng Liu Hui Xiong Yanjie Fu 79 8 0 19 Jan 2022
GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers Peitian Zhang Zheng liu AI4TS 30 1 0 12 Jan 2022
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness Amin Eslami Abyane Derui Zhu Roberto Souza Lei Ma Hadi Hemmati AAML OOD FedML 24 3 0 05 Jan 2022
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning Junyu Shi Wei Wan Shengshan Hu Jianrong Lu L. Zhang AAML 42 74 0 29 Dec 2021
EIFFeL: Ensuring Integrity for Federated Learning A. Chowdhury Chuan Guo S. Jha Laurens van der Maaten FedML 77 74 0 23 Dec 2021
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data Ke Chen Xingjian Du Bilei Zhu Zejun Ma Taylor Berg-Kirkpatrick Shlomo Dubnov 19 43 0 15 Dec 2021
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning Shiliang Zhang 21 2 0 13 Nov 2021
Robust Federated Learning via Over-The-Air Computation Houssem Sifaou Geoffrey Ye Li FedML 22 18 0 01 Nov 2021
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph Na Zhao Zhen Long Zhi-Dan Zhao Jian Wang HAI 9 1 0 01 Nov 2021
Towards Robust Reasoning over Knowledge Graphs Zhaohan Xi Ren Pang Changjiang Li S. Ji Xiapu Luo Xusheng Xiao Ting Wang 19 0 0 27 Oct 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments Joost Verbraeken M. Vos J. Pouwelse 31 4 0 21 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 357 0 04 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 44 22 0 20 Sep 2021
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning Xueyao Zhang Jinchao Zhang Yao Qiu Li Wang Jie Zhou 30 25 0 14 Sep 2021
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering Jian Xu Shao-Lun Huang Linqi Song Tian-Shing Lan FedML AAML 37 43 0 13 Sep 2021
Exploiting Heterogeneity in Robust Federated Best-Arm Identification A. Mitra Hamed Hassani George Pappas FedML 39 26 0 13 Sep 2021
Music Composition with Deep Learning: A Review Carlos Hernandez-Olivan J. R. Beltrán CoGe VLM 30 66 0 27 Aug 2021
Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy Nirupam Gupta Thinh T. Doan Nitin H. Vaidya FedML 31 11 0 26 Aug 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 45 214 0 23 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization Guodong Long Ming Xie Tao Shen Dinesh Manocha Xianzhi Wang Jing Jiang Chengqi Zhang FedML 32 243 0 19 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 44 73 0 01 Aug 2021
RobustFed: A Truth Inference Approach for Robust Federated Learning Farnaz Tahmasebian Jian Lou Li Xiong FedML 19 22 0 18 Jul 2021
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning Jiacheng Liang Songze Li Bochuan Cao Wensi Jiang Chaoyang He 14 16 0 12 Jul 2021
Rating and aspect-based opinion graph embeddings for explainable recommendations Iván Cantador Andrés Carvallo F. Díez 22 3 0 07 Jul 2021
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations Iván Cantador Andrés Carvallo F. Díez Denis Parra 22 0 0 07 Jul 2021
Secure Distributed Training at Scale Eduard A. Gorbunov Alexander Borzunov Michael Diskin Max Ryabinin FedML 26 15 0 21 Jun 2021
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent Anish Acharya Abolfazl Hashemi Prateek Jain Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu 28 33 0 16 Jun 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning Shuo Liu AI4CE OOD 58 13 0 16 Jun 2021
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning Feng-Shih Lin Weiyu Li Qing Ling FedML 20 6 0 13 Jun 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 22 28 0 21 May 2021
Learning to Ask Appropriate Questions in Conversational Recommendation Xuhui Ren Hongzhi Yin Tong Chen Hao Wang Zi Huang Kai Zheng 24 66 0 11 May 2021
An Adversarial Transfer Network for Knowledge Representation Learning Huijuan Wang Shuangyin Li Rong Pan GAN 22 5 0 30 Apr 2021
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning Bo Zhao Peng Sun Liming Fang Tao Wang Ke Jiang FedML 42 3 0 16 Apr 2021
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning He Zhu Qing Ling FedML AAML 24 11 0 14 Apr 2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems Chenhao Xu Jiaqi Ge Yong Li Yao Deng Longxiang Gao Mengshi Zhang Yong Xiang Xi Zheng FedML 33 14 0 12 Mar 2021
On Estimating Recommendation Evaluation Metrics under Sampling R. Jin Dong Li Benjamin Mudrak Jing Gao Zhi Liu 18 14 0 02 Mar 2021
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles Rui-cang Wang Heju Li Erwu Liu 26 11 0 01 Mar 2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He Tat-Seng Chua 90 416 0 14 Feb 2021
Provably Secure Federated Learning against Malicious Clients Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong FedML 21 134 0 03 Feb 2021
Probabilistic Inference for Learning from Untrusted Sources D. Nguyen Shiau Hong Lim L. Wynter D. Cai FedML 29 0 0 15 Jan 2021
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball Chen Ma Liheng Ma Yingxue Zhang Haolun Wu Xue Liu Mark J. Coates 41 33 0 13 Jan 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 117 616 0 27 Dec 2020
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion Jaehun Jung Jinhong Jung U. Kang 14 15 0 19 Dec 2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 32 271 0 18 Dec 2020
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 30 174 0 18 Dec 2020