Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,850 papers shown

Title
An alternative approach for distributed parameter estimation under Gaussian settings Subhro Das 31 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 8 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 29 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 17 6 0 08 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 47 19 0 07 Apr 2022
Privacy-Preserving Federated Learning via System Immersion and Random Matrix Encryption H. Hayati C. Murguia N. van de Wouw FedML 32 7 0 05 Apr 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 37 12 0 03 Apr 2022
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging Yujin Han Pan Du Kai Yang FedML 36 12 0 03 Apr 2022
Robust and Efficient Aggregation for Distributed Learning Stefan Vlaski Christian A. Schroth Michael Muma A. Zoubir OOD FedML 29 4 0 01 Apr 2022
Accelerating Federated Edge Learning via Topology Optimization Shanfeng Huang Zezhong Zhang Shuai Wang Rui Wang Kaibin Huang FedML 25 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 34 24 0 31 Mar 2022
Federated Domain Adaptation for ASR with Full Self-Supervision Junteng Jia Jay Mahadeokar Weiyi Zheng Yuan Shangguan Ozlem Kalinli Frank Seide 37 13 0 30 Mar 2022
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation Han Wang Siddartha Marella James Anderson FedML 19 39 0 28 Mar 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning Xiaoxiao Liang Yiqun Lin Huazhu Fu Lei Zhu Xuelong Li FedML 24 48 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 43 18 0 26 Mar 2022
Asynchronous Collaborative Learning Across Data Silos Tiffany Tuor J. Lockhart Daniele Magazzeni FedML 37 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 35 105 0 22 Mar 2022
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis Yuwei Sun H. Ochiai Jun Sakuma AAML FedML 43 15 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 20 58 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 6 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 26 10 0 20 Mar 2022
Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural Networks Hanqing Sun Hyun Ahn Hyungyu Lee Injung Kim 19 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 38 52 0 18 Mar 2022
Convert, compress, correct: Three steps toward communication-efficient DNN training Zhongzhu Chen Eduin E. Hernandez Yu-Chih Huang Stefano Rini 28 0 0 17 Mar 2022
Privacy-Aware Compression for Federated Data Analysis Kamalika Chaudhuri Chuan Guo Michael G. Rabbat FedML 38 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 27 13 0 11 Mar 2022
Wireless Quantized Federated Learning: A Joint Computation and Communication Design Pavlos S. Bouzinis P. Diamantoulakis G. Karagiannidis MQ FedML 36 31 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 26 64 0 11 Mar 2022
Federated Remote Physiological Measurement with Imperfect Data Xin Liu Mingchuan Zhang Ziheng Jiang Shwetak N. Patel Daniel J. McDuff 35 12 0 11 Mar 2022
Correlated quantization for distributed mean estimation and optimization A. Suresh Ziteng Sun Jae Hun Ro Felix X. Yu 36 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 17 13 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 31 17 0 09 Mar 2022
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning George P. Kontoudis D. Stilwell FedML 19 8 0 06 Mar 2022
Distributed Methods with Absolute Compression and Error Compensation Marina Danilova Eduard A. Gorbunov 24 5 0 04 Mar 2022
Linear Stochastic Bandits over a Bit-Constrained Channel A. Mitra Hamed Hassani George J. Pappas 47 8 0 02 Mar 2022
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks Dmitrii Usynin Daniel Rueckert Georgios Kaissis SILM AAML 36 17 0 01 Mar 2022
Federated Online Sparse Decision Making ChiHua Wang Wenjie Li Guang Cheng Guang Lin FedML 22 4 0 27 Feb 2022
Graph-Assisted Communication-Efficient Ensemble Federated Learning P. M. Ghari Yanning Shen FedML 27 4 0 27 Feb 2022
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization Junren Chen Cheng-Long Wang Michael Kwok-Po Ng Di Wang MQ 28 18 0 26 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search Chunhui Zhang Xiaoming Yuan Qianyun Zhang Guangxu Zhu Lei Cheng Ning Zhang FedML OOD 33 15 0 23 Feb 2022
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection Y. Kim Huili Chen F. Koushanfar FedML AAML 14 8 0 21 Feb 2022
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! Konstantin Mishchenko Grigory Malinovsky Sebastian U. Stich Peter Richtárik 16 152 0 18 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 64 43 0 18 Feb 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 16 21 0 17 Feb 2022
LAMP: Extracting Text from Gradients with Language Model Priors Mislav Balunović Dimitar I. Dimitrov Nikola Jovanović Martin Vechev 27 57 0 17 Feb 2022
Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning Yuxuan Sun Sheng Zhou Z. Niu Deniz Gündüz 8 21 0 17 Feb 2022
Federated Stochastic Gradient Descent Begets Self-Induced Momentum Howard H. Yang Zuozhu Liu Yaru Fu Tony Q.S. Quek H. Vincent Poor FedML 10 5 0 17 Feb 2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices Ruixuan Liu Fangzhao Wu Chuhan Wu Yanlin Wang Lingjuan Lyu Hong Chen Xing Xie FedML 19 70 0 16 Feb 2022
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification Fumiyuki Kato Yang Cao Masatoshi Yoshikawa FedML 37 5 0 15 Feb 2022
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction Chuhan Wu Fangzhao Wu Tao Qi Yanlin Wang Yuqing Yang Yongfeng Huang Xing Xie FedML 21 1 0 10 Feb 2022