Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

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Title
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices Pavana Prakash Jiahao Ding Maoqiang Wu Minglei Shu Rong Yu Miao Pan FedML 48 3 0 01 Nov 2021
Improving Fairness via Federated Learning Yuchen Zeng Hongxu Chen Kangwook Lee FedML 24 60 0 29 Oct 2021
Spatio-Temporal Federated Learning for Massive Wireless Edge Networks Chun-Hung Liu Kai-Ten Feng Luwei Wei Yung-Jie Luo 11 1 0 27 Oct 2021
Distributed Principal Component Analysis with Limited Communication Foivos Alimisis Peter Davies Bart Vandereycken Dan Alistarh 34 12 0 27 Oct 2021
Federated Unlearning via Class-Discriminative Pruning Junxiao Wang Song Guo Xin Xie Heng Qi MU 13 137 0 22 Oct 2021
Privacy in Open Search: A Review of Challenges and Solutions Samuel Sousa Christian Guetl Roman Kern 24 3 0 20 Oct 2021
Layer-wise Adaptive Model Aggregation for Scalable Federated Learning Sunwoo Lee Tuo Zhang Chaoyang He Salman Avestimehr FedML 6 49 0 19 Oct 2021
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning Chan Yun Hin Edith C.H. Ngai FedML 24 24 0 19 Oct 2021
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers Xin-Yue Fan Yue Wang Yan Huo Zhi Tian FedML 27 23 0 18 Oct 2021
Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing Pinyarash Pinyoanuntapong Tagore Pothuneedi Ravikumar Balakrishnan Minwoo Lee Chong Chen Pu Wang 30 3 0 18 Oct 2021
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System Stephan Holly Thomas Hiessl Safoura Rezapour Lakani Daniel Schall C. Heitzinger J. Kemnitz FedML 47 17 0 15 Oct 2021
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning Jieming Bian Zhu Fu Jie Xu FedML 34 13 0 15 Oct 2021
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 21 20 0 13 Oct 2021
Federated Natural Language Generation for Personalized Dialogue System Yujie Lu Chao-Wei Huang Huanli Zhan Yong Zhuang FedML 89 9 0 13 Oct 2021
Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection Yuwei Sun Ng Chong H. Ochiai FedML 21 6 0 12 Oct 2021
Partial Variable Training for Efficient On-Device Federated Learning Tien-Ju Yang Dhruv Guliani F. Beaufays Giovanni Motta FedML 27 25 0 11 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees Siliang Zeng Tianyi Chen Alfredo García Mingyi Hong 52 11 0 11 Oct 2021
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training Hui-Po Wang Sebastian U. Stich Yang He Mario Fritz FedML AI4CE 36 48 0 11 Oct 2021
Homogeneous Learning: Self-Attention Decentralized Deep Learning Yuwei Sun H. Ochiai FedML 22 9 0 11 Oct 2021
The Skellam Mechanism for Differentially Private Federated Learning Naman Agarwal Peter Kairouz Ziyu Liu FedML 24 122 0 11 Oct 2021
FRL: Federated Rank Learning Hamid Mozaffari Virat Shejwalkar Amir Houmansadr FedML 29 11 0 08 Oct 2021
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees Aleksandr Beznosikov Peter Richtárik Michael Diskin Max Ryabinin Alexander Gasnikov FedML 27 21 0 07 Oct 2021
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning M. Aghapour A. Ferdowsi Walid Saad FedML 24 1 0 06 Oct 2021
Secure Byzantine-Robust Distributed Learning via Clustering R. K. Velicheti Derek Xia Oluwasanmi Koyejo FedML OOD 78 19 0 06 Oct 2021
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices Yuhao Chen Qianqian Yang Shibo He Zhiguo Shi Jiming Chen 29 3 0 06 Oct 2021
Efficient and Private Federated Learning with Partially Trainable Networks Hakim Sidahmed Zheng Xu Ankush Garg Yuan Cao Mingqing Chen FedML 59 13 0 06 Oct 2021
A Systematic Survey of Blockchained Federated Learning Zhilin Wang Qin Hu Minghui Xu Zhuang Yan Yawei Wang Xiuzhen Cheng FedML 53 45 0 05 Oct 2021
Communication-Efficient Federated Learning with Binary Neural Networks YuZhi Yang Zhaoyang Zhang Qianqian Yang FedML 37 31 0 05 Oct 2021
Federating for Learning Group Fair Models Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML FaML 31 17 0 05 Oct 2021
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs B. Soret L. Nguyen J. Seeger Arne Bröring Chaouki Ben Issaid S. Samarakoon Anis El Gabli V. Kulkarni M. Bennis P. Popovski 31 13 0 04 Oct 2021
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients Lingjiao Chen Leshang Chen Hongyi Wang S. Davidson Yan Sun FedML 37 1 0 04 Oct 2021
SecFL: Confidential Federated Learning using TEEs D. Quoc Christof Fetzer FedML 29 16 0 03 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 75 45 0 01 Oct 2021
Layer-wise and Dimension-wise Locally Adaptive Federated Learning Belhal Karimi Ping Li Xiaoyun Li FedML 47 3 0 01 Oct 2021
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis Fatemehsadat Mireshghallah Vaishnavi Shrivastava Milad Shokouhi Taylor Berg-Kirkpatrick Robert Sim Dimitrios Dimitriadis FedML 56 33 0 01 Oct 2021
Coding for Straggler Mitigation in Federated Learning Siddhartha Kumar Reent Schlegel E. Rosnes Alexandre Graell i Amat FedML 34 11 0 30 Sep 2021
Federated Learning in ASR: Not as Easy as You Think Wentao Yu J. Freiwald Soren Tewes F. Huennemeyer D. Kolossa FedML 32 17 0 30 Sep 2021
Secure Machine Learning over Relational Data Qiyao Luo Yilei Wang Zhenghang Ren K. Yi Kai Chen Xiao Wang 37 4 0 30 Sep 2021
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning Haizhou Shi Youcai Zhang Zijin Shen Siliang Tang Yaqian Li Yandong Guo Yueting Zhuang 24 6 0 29 Sep 2021
Private Language Model Adaptation for Speech Recognition Zhe Liu Ke Li Shreyan Bakshi Fuchun Peng 36 6 0 28 Sep 2021
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis Sagar Shrestha Xiao Fu FedML 38 0 0 25 Sep 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems Amanda Prorok Matthew Malencia Luca Carlone Gaurav Sukhatme Brian M. Sadler Vijay Kumar 101 53 0 25 Sep 2021
MC $^2$ -SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation Zeyuan Chen Jiangchao Yao Feng Wang Kunyang Jia Bo Han Wei Zhang Hongxia Yang 11 10 0 25 Sep 2021
Paving the Way for Distributed Artificial Intelligence over the Air Guoqing Ma Shuping Dang Chuanting Zhang B. Shihada 27 3 0 24 Sep 2021
Energy efficient distributed analytics at the edge of the network for IoT environments Lorenzo Valerio M. Conti A. Passarella 13 28 0 23 Sep 2021
Assisted Learning for Organizations with Limited Imbalanced Data Cheng Chen Jiaying Zhou Jie Ding Yi Zhou FedML 29 3 0 20 Sep 2021
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance Praveen Joshi Chandra Thapa S. Çamtepe M. Hasanuzzamana T. Scully Haithem Afli FedML 45 24 0 19 Sep 2021
Improving Fairness for Data Valuation in Horizontal Federated Learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Changxin Liu Yong Zhang TDI FedML 45 47 0 19 Sep 2021
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching Tahseen Rabbani Brandon Yushan Feng Marco Bornstein Kyle Rui Sang Yifan Yang Arjun Rajkumar A. Varshney Furong Huang FedML 64 2 0 17 Sep 2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning Chanhoo Park Seunghoon Lee Namyoon Lee 34 5 0 14 Sep 2021