Semi-Cyclic Stochastic Gradient Descent

Semi-Cyclic Stochastic Gradient Descent

23 April 2019

Papers citing "Semi-Cyclic Stochastic Gradient Descent"

17 / 17 papers shown

Title
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 23 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 15 6 0 08 May 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei-Neng Chen Shuicheng Yan Min-Bin Lin FedML 26 10 0 28 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 21 11 0 04 Jan 2023
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 34 6 0 03 Oct 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 52 0 18 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 11 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 35 78 0 08 Jun 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu Kaixuan Huang Jingzhao Zhang Longbo Huang FedML 22 95 0 08 Jun 2021
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 38 186 0 05 Oct 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 24 0 0 26 Aug 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 16 14 0 24 Apr 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 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 36 37 0 18 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 19 223 0 01 Feb 2020
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 14 830 0 08 Oct 2019