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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
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party Lushan Song Jiaxuan Wang Zhexuan Wang Xinyu Tu Guopeng Lin Wenqiang Ruan Haoqi Wu Wei Han 84 20 0 02 Oct 2022
Sparse Random Networks for Communication-Efficient Federated Learning Berivan Isik Francesco Pase Deniz Gunduz Tsachy Weissman M. Zorzi FedML 129 53 0 30 Sep 2022
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression Kaja Gruntkowska Alexander Tyurin Peter Richtárik 154 24 0 30 Sep 2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective Ping Luo Jieren Cheng Zhenhao Liu N. Xiong Jie Wu FedML 80 1 0 28 Sep 2022
On the Stability Analysis of Open Federated Learning Systems Youbang Sun H. Fernando Tianyi Chen Shahin Shahrampour FedML 87 1 0 25 Sep 2022
A One-shot Framework for Distributed Clustered Learning in Heterogeneous Environments Aleksandar Armacki Dragana Bajović D. Jakovetić S. Kar FedML 112 5 0 22 Sep 2022
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning Jiaqi Wang R. Schuster Ilia Shumailov David Lie Nicolas Papernot FedML 81 3 0 22 Sep 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 122 4 0 19 Sep 2022
The Cost of Training Machine Learning Models over Distributed Data Sources Elia Guerra F. Wilhelmi M. Miozzo Paolo Dini FedML 98 23 0 15 Sep 2022
Federated Meta-Learning for Traffic Steering in O-RAN Hakan Erdol Xiaoyang Wang Peizheng Li Jonathan D. Thomas Robert Piechocki G. Oikonomou Rui Inacio A. Ahmad K. Briggs S. Kapoor 29 13 0 13 Sep 2022
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning Feng Wang M. C. Gursoy Senem Velipasalar 112 2 0 12 Sep 2022
Personalized Federated Learning with Communication Compression El Houcine Bergou Konstantin Burlachenko Aritra Dutta Peter Richtárik FedML 121 10 0 12 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 347 344 0 11 Sep 2022
Anomaly Detection through Unsupervised Federated Learning Mirko Nardi Lorenzo Valerio A. Passarella FedML OOD 100 12 0 09 Sep 2022
FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices Minxue Tang Jianyi Zhang Mingyuan Ma Louis DiValentin Aolin Ding Amin Hassanzadeh H. Li Yiran Chen FedML 75 0 0 08 Sep 2022
Faster federated optimization under second-order similarity Ahmed Khaled Chi Jin FedML 100 19 0 06 Sep 2022
Federated Transfer Learning with Multimodal Data Yulian Sun FedML 59 5 0 05 Sep 2022
Federated XGBoost on Sample-Wise Non-IID Data Katelinh Jones Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo FedML 160 7 0 03 Sep 2022
Optimal Diagonal Preconditioning Zhaonan Qu Wenzhi Gao Oliver Hinder Yinyu Ye Zhengyuan Zhou 34 10 0 02 Sep 2022
Non-IID Quantum Federated Learning with One-shot Communication Complexity Haimeng Zhao FedML 66 21 0 02 Sep 2022
Trading Off Privacy, Utility and Efficiency in Federated Learning Xiaojin Zhang Yan Kang Kai Chen Lixin Fan Qiang Yang FedML 128 56 0 01 Sep 2022
Non-readily identifiable data collaboration analysis for multiple datasets including personal information A. Imakura T. Sakurai Yukihiko Okada Tomoya Fujii Teppei Sakamoto Hiroyuki Abe FedML 62 10 0 31 Aug 2022
Another Use of SMOTE for Interpretable Data Collaboration Analysis A. Imakura Masateru Kihira Yukihiko Okada T. Sakurai 34 18 0 26 Aug 2022
Abnormal Local Clustering in Federated Learning Ji-Hyeon Won FedML 18 0 0 26 Aug 2022
Towards Federated Learning against Noisy Labels via Local Self-Regularization Xue Jiang Sheng Sun Yuwei Wang Min Liu 85 41 0 25 Aug 2022
Joint Privacy Enhancement and Quantization in Federated Learning Natalie Lang Elad Sofer Tomer Shaked Nir Shlezinger FedML 99 48 0 23 Aug 2022
Decentralized Collaborative Learning with Probabilistic Data Protection T. Idé Raymond H. Putra FedML 62 2 0 23 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 127 17 0 21 Aug 2022
A Review of Federated Learning in Energy Systems Xu Cheng Chendan Li Xiufeng Liu 62 28 0 20 Aug 2022
Reversible Data hiding in Encrypted Domain with Public Key Embedding Mechanism Yan Ke Minqing Zhang Xinpeng Zhang Yiliang Han Jia-Wei Liu 27 2 0 20 Aug 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 69 13 0 19 Aug 2022
Recent Advances of Blockchain and its Applications Xiao Li Wei Wu 77 15 0 16 Aug 2022
FedPerm: Private and Robust Federated Learning by Parameter Permutation Hamid Mozaffari Virendra J. Marathe D. Dice FedML 90 4 0 16 Aug 2022
Collaborative causal inference on distributed data Yuji Kawamata Ryoki Motai Yukihiko Okada A. Imakura T. Sakurai 44 7 0 16 Aug 2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area Zhe Qu Xingyu Li Jie Xu Bo Tang Zhuo Lu Yao-Hong Liu FedML 69 15 0 16 Aug 2022
Knowledge-Injected Federated Learning Zhenan Fan Zirui Zhou Jian Pei M. Friedlander Jiajie Hu Chengliang Li Yong Zhang FedML 70 4 0 16 Aug 2022
Federated Quantum Natural Gradient Descent for Quantum Federated Learning Jun Qi FedML 64 17 0 15 Aug 2022
A Modified UDP for Federated Learning Packet Transmissions B. Mahembe Clement N. Nyirenda 28 1 0 11 Aug 2022
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning Yuanyuan Chen Zichen Chen Pengcheng Wu Han Yu AI4CE 84 19 0 10 Aug 2022
Towards Energy-Aware Federated Learning on Battery-Powered Clients Amna Arouj A. Abdelmoniem 71 28 0 09 Aug 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity Xinchi Qiu Javier Fernandez-Marques Pedro Gusmão Yan Gao Titouan Parcollet Nicholas D. Lane FedML 87 71 0 04 Aug 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder J. Jeong Minyong Cho Philipp Benz Jinwoo Hwang J. Kim Seungkwang Lee Tae-Hoon Kim 69 3 0 04 Aug 2022
A New Implementation of Federated Learning for Privacy and Security Enhancement Xiang Ma Haijian Sun R. Hu Yi Qian FedML 141 3 0 03 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 121 64 0 02 Aug 2022
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning Yun-Wei Chu Seyyedali Hosseinalipour Elizabeth Tenorio Laura Cruz K. Douglas Andrew Lan Christopher G. Brinton FedML AI4Ed 101 21 0 02 Aug 2022
Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer Jicheng Li Anjana Bhat R. Barmaki ViT 84 5 0 01 Aug 2022
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates Fangcheng Fu Xupeng Miao Jiawei Jiang Huanran Xue Tengjiao Wang FedML 74 24 0 29 Jul 2022
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning Divyansh Jhunjhunwala Pranay Sharma Aushim Nagarkatti Gauri Joshi FedML 104 67 0 28 Jul 2022
Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 97 20 0 28 Jul 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 101 8 0 28 Jul 2022