Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning

25 May 2025

Papers citing "Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning"

35 / 35 papers shown

Title
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction Hui Ma Kai Yang AI4TS 229 3 0 26 May 2025
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Yue Liu FedML 90 5 0 04 Jun 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting Shiyu Wang Haixu Wu Xiaoming Shi Tengge Hu Huakun Luo Lintao Ma James Y. Zhang Jun-ping Zhou AI4TS 88 127 0 23 May 2024
Optimization Design for Federated Learning in Heterogeneous 6G Networks Bing Luo Xiaomin Ouyang Peng Sun Pengchao Han Ningning Ding Jianwei Huang 42 14 0 15 Mar 2023
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning Shenghui Li Edith C.H. Ngai Thiemo Voigt FedML AAML 38 54 0 14 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 68 35 0 07 Feb 2023
Distributed Distributionally Robust Optimization with Non-Convex Objectives Yang Jiao Kai Yang Dongjin Song 42 12 0 14 Oct 2022
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations Nima Tavangaran Mingzhe Chen Zhaohui Yang J. M. B. D. Silva H. Vincent Poor FedML 63 5 0 25 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 130 38 0 24 Jul 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 43 8 0 05 May 2022
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation Heng Zhu Qing Ling FedML 43 24 0 29 Apr 2022
Dual Attention-Based Federated Learning for Wireless Traffic Prediction Chuanting Zhang Shuping Dang B. Shihada Mohamed-Slim Alouini 48 86 0 11 Oct 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie SILM AAML FedML 82 102 0 02 May 2021
Distributionally Robust Federated Averaging Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 25 142 0 25 Feb 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 139 626 0 27 Dec 2020
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 61 179 0 18 Dec 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 136 256 0 15 Oct 2020
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series Yang Jiao Kai Yang Shaoyu Dou Pan Luo Sijia Liu Dongjin Song AI4TS 44 8 0 04 Oct 2020
Distributionally-Robust Machine Learning Using Locally Differentially-Private Data F. Farokhi FedML OOD 30 8 0 24 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji Jason D. Lee Yingbin Liang H. Vincent Poor 123 76 0 16 Jun 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 60 137 0 25 Apr 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 72 1,217 0 31 Mar 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach Yi Liu James Jianqiao Yu Jiawen Kang Dusit Niyato Shuyu Zhang AI4TS 59 445 0 19 Mar 2020
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 91 1,589 0 01 Nov 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation Shashank Rajput Hongyi Wang Zachary B. Charles Dimitris Papailiopoulos FedML 56 132 0 29 Jul 2019
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 119 793 0 25 May 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 88 928 0 01 Feb 2019
Learning Private Neural Language Modeling with Attentive Aggregation Shaoxiong Ji Shirui Pan Guodong Long Xue Li Jing Jiang Zi Huang FedML MoMe 62 139 0 17 Dec 2018
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 85 5,105 0 14 Dec 2018
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li Canran Xu Xiangnan He Yixin Cao Tat-Seng Chua FedML 95 591 0 09 Nov 2018
Active Learning for Wireless IoT Intrusion Detection Kai Yang Jie Ren Yanqiao Zhu Weiyi Zhang 95 100 0 04 Aug 2018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients Lingjiao Chen Hongyi Wang Zachary B. Charles Dimitris Papailiopoulos 38 244 0 27 Mar 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 72 1,483 0 05 Mar 2018
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations Peyman Mohajerin Esfahani Daniel Kuhn 56 1,641 0 19 May 2015
On the rate of convergence in Wasserstein distance of the empirical measure N. Fournier Arnaud Guillin 117 1,141 0 07 Dec 2013