Semi-Cyclic Stochastic Gradient Descent

23 April 2019

Papers citing "Semi-Cyclic Stochastic Gradient Descent"

24 / 24 papers shown

Title
Debiasing Federated Learning with Correlated Client Participation Zhenyu Sun Ziyang Zhang Zheng Xu Gauri Joshi Pranay Sharma Ermin Wei FedML 29 0 0 02 Oct 2024
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 31 4 0 26 Oct 2023
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts Kun Jin Tongxin Yin Zhong Chen Zeyu Sun Xueru Zhang Yang Liu Mingyan D. Liu OOD FedML 25 7 0 08 May 2023
On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho Pranay Sharma Gauri Joshi Zheng Xu Satyen Kale Tong Zhang FedML 44 27 0 06 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min Lin FedML 36 10 0 28 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 37 12 0 04 Jan 2023
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 52 6 0 03 Oct 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 53 0 18 May 2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints Mónica Ribero H. Vikalo G. Veciana FedML 24 44 0 13 May 2022
Architecture Agnostic Federated Learning for Neural Networks Disha Makhija Xing Han Nhat Ho Joydeep Ghosh FedML 21 40 0 15 Feb 2022
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning Shiliang Zhang 21 2 0 13 Nov 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing M. Khodak Renbo Tu Tian Li Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar FedML 43 78 0 08 Jun 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu Kaixuan Huang Jingzhao Zhang Longbo Huang FedML 35 96 0 08 Jun 2021
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 50 186 0 05 Oct 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 37 0 0 26 Aug 2020
Online Parameter-Free Learning of Multiple Low Variance Tasks Giulia Denevi Dimitris Stamos Massimiliano Pontil 19 0 0 11 Jul 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 28 15 0 24 Apr 2020
Federated learning with hierarchical clustering of local updates to improve training on non-IID data Christopher Briggs Zhong Fan Péter András FedML 34 557 0 24 Apr 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 545 0 30 Mar 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
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 27 289 0 11 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 21 223 0 01 Feb 2020
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 14 30 0 06 Nov 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 45 836 0 08 Oct 2019