Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 792 papers shown

Title
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Huan Zhang Mi Zhang Xin Liu P. Mohapatra Michael DeLucia FedML 31 18 0 06 Oct 2021
Secure Byzantine-Robust Distributed Learning via Clustering R. K. Velicheti Derek Xia Oluwasanmi Koyejo FedML OOD 70 19 0 06 Oct 2021
Efficient and Private Federated Learning with Partially Trainable Networks Hakim Sidahmed Zheng Xu Ankush Garg Yuan Cao Mingqing Chen FedML 49 13 0 06 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Chaoyang He Zhengyu Yang Erum Mushtaq Sunwoo Lee Mahdi Soltanolkotabi A. Avestimehr FedML 98 36 0 06 Oct 2021
Secure Aggregation for Buffered Asynchronous Federated Learning Jinhyun So Ramy E. Ali Başak Güler A. Avestimehr FedML 17 26 0 05 Oct 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 33 197 0 02 Oct 2021
Layer-wise and Dimension-wise Locally Adaptive Federated Learning Belhal Karimi Ping Li Xiaoyun Li FedML 42 3 0 01 Oct 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 67 166 0 29 Sep 2021
Private Language Model Adaptation for Speech Recognition Zhe Liu Ke Li Shreyan Bakshi Fuchun Peng 34 6 0 28 Sep 2021
Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics Natascha Harth Hans-Jörg Vögel Kostas Kolomvatsos Christos Anagnostopoulos 21 12 0 25 Sep 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 35 31 0 16 Sep 2021
Federated Submodel Optimization for Hot and Cold Data Features Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lv Yanghe Feng Guihai Chen FedML 23 5 0 16 Sep 2021
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting Wei-wei Zhu Jiebo Luo Andrew D. White FedML 35 32 0 15 Sep 2021
Federated Ensemble Model-based Reinforcement Learning in Edge Computing Jin Wang Jia Hu Jed Mills Geyong Min Ming Xia FedML 22 20 0 12 Sep 2021
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 57 72 0 12 Sep 2021
Toward Communication Efficient Adaptive Gradient Method Xiangyi Chen Xiaoyun Li P. Li FedML 39 41 0 10 Sep 2021
Iterated Vector Fields and Conservatism, with Applications to Federated Learning Zachary B. Charles Keith Rush 27 6 0 08 Sep 2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection Shulai Zhang Zirui Li Quan Chen Wenli Zheng Jingwen Leng M. Guo FedML 59 32 0 08 Sep 2021
On the Convergence of Decentralized Adaptive Gradient Methods Xiangyi Chen Belhal Karimi Weijie Zhao Ping Li 23 21 0 07 Sep 2021
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning Zhifeng Jiang Wen Wang Yang Liu FedML 32 49 0 02 Sep 2021
Federated Learning: Issues in Medical Application Joo Hun Yoo Hyejun Jeong Jaehyeok Lee Tai M. Chung FedML OOD 33 13 0 01 Sep 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health Guodong Long Tao Shen Yue Tan Leah Gerrard Allison Clarke Jing Jiang FedML 26 45 0 24 Aug 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 40 269 0 23 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 42 213 0 23 Aug 2021
Anarchic Federated Learning Haibo Yang Xin Zhang Prashant Khanduri Jia Liu FedML 24 58 0 23 Aug 2021
Accelerating Federated Learning with a Global Biased Optimiser Jed Mills Jia Hu Geyong Min Rui Jin Siwei Zheng Jin Wang FedML AI4CE 34 9 0 20 Aug 2021
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning S. Vargaftik Ran Ben-Basat Amit Portnoy Gal Mendelson Y. Ben-Itzhak Michael Mitzenmacher FedML 46 46 0 19 Aug 2021
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 28 5 0 17 Aug 2021
Federated Asymptotics: a model to compare federated learning algorithms Gary Cheng Karan N. Chadha John C. Duchi FedML 13 14 0 16 Aug 2021
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning Charlie Hou K. K. Thekumparampil Giulia Fanti Sewoong Oh FedML 39 14 0 16 Aug 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning Nam Hyeon-Woo Moon Ye-Bin Tae-Hyun Oh FedML 16 115 0 13 Aug 2021
An Operator Splitting View of Federated Learning Saber Malekmohammadi K. Shaloudegi Zeou Hu Yaoliang Yu FedML 26 2 0 12 Aug 2021
ABC-FL: Anomalous and Benign client Classification in Federated Learning Hyejun Jeong Joonyong Hwang Tai-Myung Chung 17 4 0 10 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 27 37 0 05 Aug 2021
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 33 48 0 04 Aug 2021
A General Theory for Client Sampling in Federated Learning Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 12 13 0 26 Jul 2021
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning Naichen Shi Fan Lai Raed Al Kontar Mosharaf Chowdhury FedML 31 35 0 21 Jul 2021
RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data Guang Yang Ke Mu Chunhe Song Zhijia Yang Tierui Gong FedML 18 16 0 19 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Federated Mixture of Experts M. Reisser Christos Louizos E. Gavves Max Welling FedML 28 25 0 14 Jul 2021
IFedAvg: Interpretable Data-Interoperability for Federated Learning David Roschewitz Mary-Anne Hartley Luca Corinzia Martin Jaggi FedML 22 7 0 14 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 24 21 0 02 Jul 2021
Implicit Gradient Alignment in Distributed and Federated Learning Yatin Dandi Luis Barba Martin Jaggi FedML 26 31 0 25 Jun 2021
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy Xinwei Zhang Xiangyi Chen Min-Fong Hong Zhiwei Steven Wu Jinfeng Yi FedML 30 91 0 25 Jun 2021
Personalized Federated Learning with Contextualized Generalization Xueyang Tang Song Guo Jingcai Guo FedML 23 38 0 24 Jun 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning Hua Huang Fanhua Shang Yuanyuan Liu Hongying Liu FedML 29 14 0 23 Jun 2021
Compositional federated learning: Applications in distributionally robust averaging and meta learning Feihu Huang Junyi Li FedML 22 15 0 21 Jun 2021
FedCM: Federated Learning with Client-level Momentum Jing Xu Sen Wang Liwei Wang Andrew Chi-Chih Yao FedML 30 94 0 21 Jun 2021
Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Optimization Luofeng Liao Li Shen Jia Duan Mladen Kolar Dacheng Tao 27 4 0 18 Jun 2021
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection Tuo Zhang Chaoyang He Tian-Shya Ma Lei Gao Mark Ma Salman Avestimehr FedML 24 112 0 15 Jun 2021