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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 / 1,868 papers shown

Title
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks Dario Rossi Liang Zhang 67 14 0 26 Apr 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 66 11 0 26 Apr 2022
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies Shaltiel Eloul Fran Silavong Sanket Kamthe Antonios Georgiadis Sean J. Moran FedML 51 6 0 26 Apr 2022
One-shot Federated Learning without Server-side Training Shangchao Su Bin Li Xiangyang Xue FedML 66 28 0 26 Apr 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications Han Cai Ji Lin Chengyue Wu Zhijian Liu Haotian Tang Hanrui Wang Ligeng Zhu Song Han 116 117 0 25 Apr 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server Hong Zhang Ji Liu Juncheng Jia Yang Zhou H. Dai Dejing Dou FedML 89 45 0 25 Apr 2022
A Closer Look at Personalization in Federated Image Classification Changxing Jing Yan Huang Yihong Zhuang Liyan Sun Yue Huang Zhenlong Xiao Xinghao Ding 69 1 0 22 Apr 2022
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model A. Bhattacharya M. Gawali J. Seth V. Kulkarni FedML OOD 78 7 0 22 Apr 2022
Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks Abbas Yazdinejad Ali Dehghantanha R. Parizi M. Hammoudeh H. Karimipour Gautam Srivastava 62 128 0 21 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 112 144 0 18 Apr 2022
How to Attain Communication-Efficient DNN Training? Convert, Compress, Correct Zhongzhu Chen Eduin E. Hernandez Yu-Chih Huang Stefano Rini MQ 153 0 0 18 Apr 2022
FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence Zhijie Xie Shenghui Song FedML 92 51 0 18 Apr 2022
Self-Aware Personalized Federated Learning Huili Chen Jie Ding Eric W. Tramel Shuang Wu Anit Kumar Sahu Salman Avestimehr Tao Zhang FedML 87 27 0 17 Apr 2022
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning Afsaneh Mahmoudi H. S. Ghadikolaei José Hélio da Cruz Júnior Carlo Fischione 74 9 0 16 Apr 2022
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning A. Khan Yuze Li Xinran Wang Sabaat Haroon Haider Ali Yue Cheng A. R. Butt Ali Anwar 134 3 0 16 Apr 2022
Privacy-Preserving Image Classification Using Isotropic Network Maungmaung Aprilpyone Hitoshi Kiya 60 37 0 16 Apr 2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing Yong-Nam Oh Yo-Seb Jeon Mingzhe Chen Walid Saad FedML 74 12 0 16 Apr 2022
An alternative approach for distributed parameter estimation under Gaussian settings Subhro Das 66 0 0 14 Apr 2022
Joint Coreset Construction and Quantization for Distributed Machine Learning Hanlin Lu Changchang Liu Shiqiang Wang T. He Vijay Narayanan Kevin S. Chan Stephen Pasteris 41 2 0 13 Apr 2022
Distributed Evolution Strategies for Black-box Stochastic Optimization Xiaoyu He Zibin Zheng Chuan Chen Yuren Zhou Chuan Luo Qingwei Lin 69 5 0 09 Apr 2022
CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks Qian Chen Zilong Wang Yilin Zhou Jiawei Chen Danyang Xiao Xiaodong Lin FedML 72 6 0 08 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 101 20 0 07 Apr 2022
Privacy-Preserving Federated Learning via System Immersion and Random Matrix Encryption H. Hayati C. Murguia N. van de Wouw FedML 72 7 0 05 Apr 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 107 12 0 03 Apr 2022
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging Yujin Han Pan Du Kai Yang FedML 142 12 0 03 Apr 2022
Robust and Efficient Aggregation for Distributed Learning Stefan Vlaski Christian A. Schroth Michael Muma A. Zoubir OOD FedML 81 4 0 01 Apr 2022
Accelerating Federated Edge Learning via Topology Optimization Shanfeng Huang Zezhong Zhang Shuai Wang Rui Wang Kaibin Huang FedML 90 13 0 01 Apr 2022
Scaling Language Model Size in Cross-Device Federated Learning Jae Hun Ro Theresa Breiner Lara McConnaughey Mingqing Chen A. Suresh Shankar Kumar Rajiv Mathews FedML 63 26 0 31 Mar 2022
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination Yiqun Mei Pengfei Guo Vishal M. Patel CVBM 57 9 0 30 Mar 2022
Federated Domain Adaptation for ASR with Full Self-Supervision Junteng Jia Jay Mahadeokar Weiyi Zheng Yuan Shangguan Ozlem Kalinli Frank Seide 76 14 0 30 Mar 2022
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation Han Wang Siddartha Marella James Anderson FedML 62 43 0 28 Mar 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning Xiaoxiao Liang Yiqun Lin Huazhu Fu Lei Zhu Xuelong Li FedML 76 52 0 26 Mar 2022
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point Bhargav Ganguly Seyyedali Hosseinalipour Kwang Taik Kim Christopher G. Brinton Vaneet Aggarwal David J. Love M. Chiang FedML 86 18 0 26 Mar 2022
Asynchronous Collaborative Learning Across Data Silos Tiffany Tuor J. Lockhart Daniele Magazzeni FedML 75 3 0 23 Mar 2022
Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions Jing Gu Eliana Stefani Qi Wu Jesse Thomason Xinze Wang LM&Ro 126 112 0 22 Mar 2022
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis Yuwei Sun H. Ochiai Jun Sakuma AAML FedML 74 16 0 22 Mar 2022
A survey on GANs for computer vision: Recent research, analysis and taxonomy Guillermo Iglesias Edgar Talavera Alberto Díaz-Álvarez EGVM AI4TS 121 63 0 21 Mar 2022
Collaborative Learning for Cyberattack Detection in Blockchain Networks Tran Viet Khoa Dongho Son D. Hoang N. Trung T. T. T. Quynh Diep N. Nguyen Nguyen Viet Ha E. Dutkiewicz AAML 37 14 0 21 Mar 2022
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs F. Wilhelmi Jernej Hribar Selim F. Yilmaz Emre Ozfatura Kerem Ozfatura ... Xiaoying Ye Lizhao You Yulin Shao Paolo Dini B. Bellalta 74 10 0 20 Mar 2022
Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural Networks Hanqing Sun Hyun Ahn Hyungyu Lee Injung Kim 63 0 0 20 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation An Xu Wenqi Li Pengfei Guo Dong Yang H. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng-Chiao Huang Ziyue Xu FedML 93 54 0 18 Mar 2022
Convert, compress, correct: Three steps toward communication-efficient DNN training Zhongzhu Chen Eduin E. Hernandez Yu-Chih Huang Stefano Rini 54 0 0 17 Mar 2022
Privacy-Aware Compression for Federated Data Analysis Kamalika Chaudhuri Chuan Guo Michael G. Rabbat FedML 77 27 0 15 Mar 2022
FedSyn: Synthetic Data Generation using Federated Learning Monik R Behera Sudhir Upadhyay S. Shetty S. Priyadarshini Palka Patel Ker Farn Lee FedML 72 13 0 11 Mar 2022
Wireless Quantized Federated Learning: A Joint Computation and Communication Design Pavlos S. Bouzinis P. Diamantoulakis G. Karagiannidis MQ FedML 87 34 0 11 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning Xiaojin Zhang Hanlin Gu Lixin Fan Kai Chen Qiang Yang FedML 97 66 0 11 Mar 2022
Federated Remote Physiological Measurement with Imperfect Data Xin Liu Mingchuan Zhang Ziheng Jiang Shwetak N. Patel Daniel J. McDuff 92 12 0 11 Mar 2022
Correlated quantization for distributed mean estimation and optimization A. Suresh Ziteng Sun Jae Hun Ro Felix X. Yu 107 12 0 09 Mar 2022
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition Yi Chang Sofiane Laridi Zhao Ren Gregory Palmer Björn W. Schuller M. Fisichella FedML AAML 72 14 0 09 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 63 18 0 09 Mar 2022