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Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,869 papers shown

Title
DNN gradient lossless compression: Can GenNorm be the answer? Zhongzhu Chen Eduin E. Hernandez Yu-Chih Huang Stefano Rini 57 9 0 15 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 104 67 0 14 Nov 2021
Eluding Secure Aggregation in Federated Learning via Model Inconsistency Dario Pasquini Danilo Francati G. Ateniese FedML 104 105 0 14 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 110 446 0 11 Nov 2021
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing Peichun Li Xumin Huang Miao Pan Rong Yu 86 16 0 11 Nov 2021
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology Zhikun Chen Daofeng Li Jinkang Zhu Sihai Zhang FedML 124 10 0 10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 114 53 0 09 Nov 2021
Unified Group Fairness on Federated Learning Fengda Zhang Kun Kuang Yuxuan Liu Long Chen Chao-Xiang Wu Leilei Gan Jiaxun Lu Yunfeng Shao Jun Xiao FedML 134 20 0 09 Nov 2021
Bayesian Framework for Gradient Leakage Mislav Balunović Dimitar I. Dimitrov Robin Staab Martin Vechev FedML 73 43 0 08 Nov 2021
Reconstructing Training Data from Diverse ML Models by Ensemble Inversion Qian Wang Daniel Kurz 50 9 0 05 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups A. Wainakh Ephraim Zimmer Sandeep Subedi Jens Keim Tim Grube Shankar Karuppayah Alejandro Sánchez Guinea Max Mühlhäuser 81 9 0 05 Nov 2021
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection Ali Anaissi Basem Suleiman FedML 71 1 0 04 Nov 2021
Federated Expectation Maximization with heterogeneity mitigation and variance reduction Hadrien Hendrikx G. Fort Eric Moulines Geneviève Robin FedML 96 5 0 03 Nov 2021
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning Xun Qian Rustem Islamov M. Safaryan Peter Richtárik FedML 96 25 0 02 Nov 2021
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits Tan Li Linqi Song FedML 59 24 0 02 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling Fahao Chen Peng Li T. Miyazaki Celimuge Wu FedML 86 81 0 02 Nov 2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training Sangjoon Park Gwanghyun Kim Jeongsol Kim Boah Kim Jong Chul Ye ViT FedML MedIm 112 30 0 02 Nov 2021
Resource-Efficient Federated Learning A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 91 57 0 01 Nov 2021
FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes Manupriya Gupta Pavas Goyal Rohit Verma R. Shorey H. Saran FedML 53 4 0 01 Nov 2021
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 73 3 0 01 Nov 2021
Improving Fairness via Federated Learning Yuchen Zeng Hongxu Chen Kangwook Lee FedML 104 65 0 29 Oct 2021
Spatio-Temporal Federated Learning for Massive Wireless Edge Networks Chun-Hung Liu Kai-Ten Feng Luwei Wei Yung-Jie Luo 52 1 0 27 Oct 2021
Distributed Principal Component Analysis with Limited Communication Foivos Alimisis Peter Davies Bart Vandereycken Dan Alistarh 80 12 0 27 Oct 2021
Federated Unlearning via Class-Discriminative Pruning Junxiao Wang Song Guo Xin Xie Heng Qi MU 103 146 0 22 Oct 2021
Privacy in Open Search: A Review of Challenges and Solutions Samuel Sousa Christian Guetl Roman Kern 86 3 0 20 Oct 2021
Layer-wise Adaptive Model Aggregation for Scalable Federated Learning Sunwoo Lee Tuo Zhang Chaoyang He Salman Avestimehr FedML 89 51 0 19 Oct 2021
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning Chan Yun Hin Edith C.H. Ngai FedML 78 25 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 96 24 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 47 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 121 17 0 15 Oct 2021
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning Jieming Bian Zhu Fu Jie Xu FedML 111 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 46 21 0 13 Oct 2021
Federated Natural Language Generation for Personalized Dialogue System Yujie Lu Chao-Wei Huang Huanli Zhan Yong Zhuang FedML 164 9 0 13 Oct 2021
Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection Yuwei Sun Ng Chong H. Ochiai FedML 68 7 0 12 Oct 2021
Partial Variable Training for Efficient On-Device Federated Learning Tien-Ju Yang Dhruv Guliani F. Beaufays Giovanni Motta FedML 58 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 100 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 76 50 0 11 Oct 2021
Homogeneous Learning: Self-Attention Decentralized Deep Learning Yuwei Sun H. Ochiai FedML 59 9 0 11 Oct 2021
The Skellam Mechanism for Differentially Private Federated Learning Naman Agarwal Peter Kairouz Ziyu Liu FedML 97 127 0 11 Oct 2021
FRL: Federated Rank Learning Hamid Mozaffari Virat Shejwalkar Amir Houmansadr FedML 149 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 114 22 0 07 Oct 2021
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning M. Aghapour A. Ferdowsi Walid Saad FedML 38 1 0 06 Oct 2021
Secure Byzantine-Robust Distributed Learning via Clustering R. K. Velicheti Derek Xia Oluwasanmi Koyejo FedML OOD 142 20 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 72 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 124 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 94 45 0 05 Oct 2021
Communication-Efficient Federated Learning with Binary Neural Networks YuZhi Yang Zhaoyang Zhang Qianqian Yang FedML 73 33 0 05 Oct 2021
Federating for Learning Group Fair Models Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML FaML 77 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 92 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 86 1 0 04 Oct 2021