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Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 815 papers shown

Title
BOBA: Byzantine-Robust Federated Learning with Label Skewness Wenxuan Bao Jun Wu Jingrui He OOD 68 6 0 27 Aug 2022
Robustness to Unbounded Smoothness of Generalized SignSGD M. Crawshaw Mingrui Liu Francesco Orabona Wei Zhang Zhenxun Zhuang AAML 110 74 0 23 Aug 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 94 10 0 22 Aug 2022
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning Zachary B. Charles Kallista A. Bonawitz Stanislav Chiknavaryan H. B. McMahan Blaise Agüera y Arcas FedML 60 13 0 19 Aug 2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area Zhe Qu Xingyu Li Jie Xu Bo Tang Zhuo Lu Yao-Hong Liu FedML 69 15 0 16 Aug 2022
Federated Adversarial Learning: A Framework with Convergence Analysis Xiaoxiao Li Zhao Song Jiaming Yang FedML 92 21 0 07 Aug 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity Xinchi Qiu Javier Fernandez-Marques Pedro Gusmão Yan Gao Titouan Parcollet Nicholas D. Lane FedML 85 71 0 04 Aug 2022
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning Divyansh Jhunjhunwala Pranay Sharma Aushim Nagarkatti Gauri Joshi FedML 104 67 0 28 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks Xiaoyuan Liu Tianneng Shi Chulin Xie Qinbin Li Kangping Hu ... The-Anh Vu-Le Zhen Huang Arash Nourian Yue Liu Basel Alomair FedML 105 8 0 21 Jul 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 81 85 0 20 Jul 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 76 62 0 20 Jul 2022
SphereFed: Hyperspherical Federated Learning Xin Dong Shanghang Zhang Ang Li H. T. Kung FedML 90 20 0 19 Jul 2022
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale Gopinath Chennupati Milind Rao Gurpreet Chadha Aaron Eakin A. Raju ... Andrew Oberlin Buddha Nandanoor Prahalad Venkataramanan Zheng Wu Pankaj Sitpure CLL 95 8 0 19 Jul 2022
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices Mingbin Xu Congzheng Song Ye Tian Neha Agrawal Filip Granqvist ... Shiyi Han Yaqiao Deng Leo Liu Anmol Walia Alex Jin FedML 91 22 0 18 Jul 2022
FLAIR: Federated Learning Annotated Image Repository Congzheng Song Filip Granqvist Kunal Talwar FedML 80 28 0 18 Jul 2022
Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update H. Nguyen Lam Phan Harikrishna Warrier Yogesh Gupta FedML 45 6 0 18 Jul 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 85 52 0 14 Jul 2022
Multi-Level Branched Regularization for Federated Learning Jinkyu Kim Geeho Kim Bohyung Han FedML 85 56 0 14 Jul 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels Yaodong Yu Alexander Wei Sai Praneeth Karimireddy Yi-An Ma Michael I. Jordan FedML 80 31 0 13 Jul 2022
Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data Yousef Yeganeh Azade Farshad Johannes Boschmann Richard Gaus Maximilian Frantzen Nassir Navab FedML OOD 76 2 0 07 Jul 2022
Towards the Practical Utility of Federated Learning in the Medical Domain Seongjun Yang Hyeonji Hwang Daeyoung Kim Radhika Dua Jong-Yeup Kim Eunho Yang Edward Choi FedML OOD 99 17 0 07 Jul 2022
Federated Self-supervised Learning for Video Understanding Yasar Abbas Ur Rehman Yan Gao Jiajun Shen Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 84 15 0 05 Jul 2022
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning John Nguyen Jianyu Wang Kshitiz Malik Maziar Sanjabi Michael G. Rabbat FedML AI4CE 72 21 0 30 Jun 2022
Cross-domain Federated Object Detection Shangchao Su Bin Li Chengzhi Zhang Min Yang Xiangyang Xue FedML 80 8 0 30 Jun 2022
An Empirical Study of Personalized Federated Learning Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka OOD FedML 73 6 0 27 Jun 2022
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance Meirui Jiang Hongzheng Yang Xiaoxiao Li Quande Liu Pheng-Ann Heng Qi Dou FedML 71 27 0 27 Jun 2022
On the Importance and Applicability of Pre-Training for Federated Learning Hong-You Chen Cheng-Hao Tu Zi-hua Li Hang Shen Wei-Lun Chao FedML 119 83 0 23 Jun 2022
FedorAS: Federated Architecture Search under system heterogeneity Łukasz Dudziak Stefanos Laskaridis Javier Fernandez-Marques FedML 128 7 0 22 Jun 2022
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices Kartik Gupta Marios Fournarakis M. Reisser Christos Louizos Markus Nagel FedML 74 16 0 22 Jun 2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity Guang-Ming Li Yue Hu Miao Zhang Ji Liu Quanjun Yin Yong Peng Dejing Dou FedML 99 42 0 21 Jun 2022
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 54 25 0 21 Jun 2022
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm Xinteng Ma Renyi Bao Jinpeng Jiang Yang Liu Arthur Jiang Junhua Yan Xin Liu Zhisong Pan FedML 96 7 0 20 Jun 2022
Communication-Efficient Federated Learning With Data and Client Heterogeneity Hossein Zakerinia Shayan Talaei Giorgi Nadiradze Dan Alistarh FedML 142 9 0 20 Jun 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training Zhifeng Jiang Wei Wang Baochun Li Yue Liu FedML 73 25 0 18 Jun 2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shan-shan Wu Tian Li Zachary B. Charles Yu Xiao Ziyu Liu Zheng Xu Virginia Smith FedML 101 45 0 18 Jun 2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting Xin-Chun Li Jin-Lin Tang Shaoming Song Bingshuai Li Yinchuan Li Yunfeng Shao Le Gan De-Chuan Zhan FedML AAML 64 9 0 17 Jun 2022
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning Anis Elgabli Chaouki Ben Issaid Amrit Singh Bedi K. Rajawat M. Bennis Vaneet Aggarwal FedML 73 34 0 17 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 95 28 0 17 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 113 56 0 16 Jun 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 101 13 0 10 Jun 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond Xiao-Tong Yuan P. Li FedML 78 62 0 10 Jun 2022
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data Jianyu Wang Rudrajit Das Gauri Joshi Satyen Kale Zheng Xu Tong Zhang FedML 108 40 0 09 Jun 2022
Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs Sanjay Sri Vallabh Singapuram Fan Lai Chuheng Hu Mosharaf Chowdhury 69 5 0 09 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 114 64 0 08 Jun 2022
Group privacy for personalized federated learning Filippo Galli Sayan Biswas Kangsoo Jung Tommaso Cucinotta C. Palamidessi FedML 77 12 0 07 Jun 2022
FedNST: Federated Noisy Student Training for Automatic Speech Recognition Haaris Mehmood A. Dobrowolska Karthikeyan P. Saravanan Mete Ozay 125 7 0 06 Jun 2022
Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu Xingyu Li Rui Duan Yaojiang Liu Bo Tang Zhuo Lu FedML 113 142 0 06 Jun 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning Romain Chor Abdellatif Zaidi Milad Sefidgaran FedML 87 15 0 06 Jun 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinfu He Bo Han Xiaowen Chu FedML 131 76 0 06 Jun 2022
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data Huancheng Chen H. Vikalo FedML 76 13 0 01 Jun 2022