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Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,027 papers shown

Title
Multi-Tier Federated Learning for Vertically Partitioned Data Anirban Das S. Patterson FedML 138 17 0 06 Feb 2021
Federated Reconstruction: Partially Local Federated Learning K. Singhal Hakim Sidahmed Zachary Garrett Shanshan Wu Keith Rush Sushant Prakash FedML 101 143 0 05 Feb 2021
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles Tengchan Zeng Omid Semiariy Mingzhe Chen Walid Saad M. Bennis FedML 61 86 0 05 Feb 2021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning Felix Sattler Tim Korjakow R. Rischke Wojciech Samek FedML 68 117 0 04 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 168 1,000 0 03 Feb 2021
A Bayesian Federated Learning Framework with Online Laplace Approximation Liang Liu Xi Jiang Feng Zheng Hong Chen Guo-Jun Qi Heng-Chiao Huang Ling Shao FedML 130 57 0 03 Feb 2021
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li 114 108 0 02 Feb 2021
Differential Privacy Meets Federated Learning under Communication Constraints Nima Mohammadi Jianan Bai Nan Cheng Yifei Song Yuhao Yi Lingjia Liu FedML 60 31 0 28 Jan 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang Minghong Fang Jia Liu FedML 100 263 0 27 Jan 2021
Vertical federated learning based on DFP and BFGS Wenjie Song Xuan Shen FedML 58 7 0 23 Jan 2021
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge A. Qayyum Kashif Ahmad Muhammad Ahtazaz Ahsan Ala I. Al-Fuqaha Junaid Qadir FedML 102 198 0 19 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 125 45 0 10 Jan 2021
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples Xizixiang Wei Cong Shen FedML 123 14 0 06 Jan 2021
Federated Nonconvex Sparse Learning Qianqian Tong Guannan Liang Tan Zhu J. Bi FedML 74 14 0 31 Dec 2020
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 108 23 0 31 Dec 2020
CADA: Communication-Adaptive Distributed Adam Tianyi Chen Ziye Guo Yuejiao Sun W. Yin ODL 41 24 0 31 Dec 2020
Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability Sangho Yeo Minho Bae Minjoong Jeong Oh-Kyoung Kwon Sangyoon Oh 57 3 0 30 Dec 2020
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 233 102 0 28 Dec 2020
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models Ruiyuan Wu Anna Scaglione Hoi-To Wai Nurullah Karakoç Kari Hreinsson Wing-Kin Ma FedML 43 21 0 27 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer Chengxi Li Gang Li P. Varshney FedML 110 112 0 24 Dec 2020
Toward Understanding the Influence of Individual Clients in Federated Learning Yihao Xue Chaoyue Niu Zhenzhe Zheng Shaojie Tang Chengfei Lv Fan Wu Guihai Chen FedML 85 39 0 20 Dec 2020
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 97 57 0 18 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 109 38 0 16 Dec 2020
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 91 301 0 15 Dec 2020
Cost-Effective Federated Learning Design Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 85 184 0 15 Dec 2020
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning Yae Jee Cho Samarth Gupta Gauri Joshi Osman Yağan FedML 81 69 0 14 Dec 2020
Federated Learning under Importance Sampling Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 79 53 0 14 Dec 2020
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning Canh T. Dinh N. H. Tran Tuan Dung Nguyen Wei Bao A. R. Balef B. Zhou Albert Y. Zomaya FedML 106 16 0 10 Dec 2020
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks M. Salehi Ekram Hossain FedML 94 85 0 09 Dec 2020
Faster Non-Convex Federated Learning via Global and Local Momentum Rudrajit Das Anish Acharya Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu FedML 97 84 0 07 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 91 149 0 07 Dec 2020
FedSiam: Towards Adaptive Federated Semi-Supervised Learning Zewei Long Liwei Che Yaqing Wang Muchao Ye Junyu Luo Jinze Wu Houping Xiao Fenglong Ma FedML 59 17 0 06 Dec 2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits Taehyeon Kim Sangmin Bae Jin-woo Lee Se-Young Yun FedML 62 15 0 06 Dec 2020
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring Gautham Krishna Gudur S. K. Perepu FedML 56 43 0 04 Dec 2020
Robust Federated Learning with Noisy Labels Seunghan Yang Hyoungseob Park Junyoung Byun Changick Kim FedML NoLa 64 80 0 03 Dec 2020
Federated Learning for Personalized Humor Recognition Xu Guo Han Yu Boyang Albert Li Hao Wang Pengwei Xing Siwei Feng Zaiqing Nie Chunyan Miao FedML 95 13 0 03 Dec 2020
Second-Order Guarantees in Federated Learning Stefan Vlaski Elsa Rizk Ali H. Sayed FedML 62 7 0 02 Dec 2020
Edge-assisted Democratized Learning Towards Federated Analytics Shashi Raj Pandey Minh N. H. Nguyen Tri Nguyen Dang N. H. Tran K. Thar Zhu Han Choong Seon Hong FedML 44 22 0 01 Dec 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han Choong Seon Hong FedML 90 50 0 25 Nov 2020
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty Yilun Lin Chaochao Chen Cen Chen Li Wang FedML 83 8 0 23 Nov 2020
LINDT: Tackling Negative Federated Learning with Local Adaptation Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu FedML 41 0 0 23 Nov 2020
FedEval: A Holistic Evaluation Framework for Federated Learning Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang FedML 90 9 0 19 Nov 2020
Stochastic Client Selection for Federated Learning with Volatile Clients Tiansheng Huang Weiwei Lin Li Shen Keqin Li Albert Y. Zomaya FedML 127 102 0 17 Nov 2020
Federated Composite Optimization Honglin Yuan Manzil Zaheer Sashank J. Reddi FedML 87 61 0 17 Nov 2020
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning Ihab Mohammed Shadha Tabatabai Ala I. Al-Fuqaha Faissal El Bouanani Junaid Qadir Basheer Qolomany Mohsen Guizani 57 62 0 16 Nov 2020
A Theoretical Perspective on Differentially Private Federated Multi-task Learning Huiwen Wu Cen Chen Li Wang FedML 54 12 0 14 Nov 2020
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments Reza Nasirigerdeh Mohammad Bakhtiari Reihaneh Torkzadehmahani Amirhossein Bayat M. List David B. Blumenthal Jan Baumbach FedML 46 8 0 13 Nov 2020
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks Saurav Prakash S. Dhakal M. Akdeniz Yair Yona S. Talwar Salman Avestimehr N. Himayat FedML 127 93 0 12 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models Gautham Krishna Gudur B. Balaji S. K. Perepu FedML 45 21 0 06 Nov 2020
Local SGD: Unified Theory and New Efficient Methods Eduard A. Gorbunov Filip Hanzely Peter Richtárik FedML 93 111 0 03 Nov 2020