Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,853 papers shown

Title
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 30 0 0 08 Sep 2022
Faster federated optimization under second-order similarity Ahmed Khaled Chi Jin FedML 61 18 0 06 Sep 2022
Federated Transfer Learning with Multimodal Data Yulian Sun FedML 29 4 0 05 Sep 2022
Federated XGBoost on Sample-Wise Non-IID Data Katelinh Jones Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo FedML 41 7 0 03 Sep 2022
Optimal Diagonal Preconditioning Zhaonan Qu Wenzhi Gao Oliver Hinder Yinyu Ye Zhengyuan Zhou 27 10 0 02 Sep 2022
Non-IID Quantum Federated Learning with One-shot Communication Complexity Haimeng Zhao FedML 20 17 0 02 Sep 2022
Trading Off Privacy, Utility and Efficiency in Federated Learning Xiaojin Zhang Yan Kang Kai Chen Lixin Fan Qiang Yang FedML 29 54 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 27 10 0 31 Aug 2022
Another Use of SMOTE for Interpretable Data Collaboration Analysis A. Imakura Masateru Kihira Yukihiko Okada T. Sakurai 13 18 0 26 Aug 2022
Abnormal Local Clustering in Federated Learning Ji-Hyeon Won FedML 11 0 0 26 Aug 2022
Towards Federated Learning against Noisy Labels via Local Self-Regularization Xue Jiang Sheng Sun Yuwei Wang Min Liu 32 37 0 25 Aug 2022
Joint Privacy Enhancement and Quantization in Federated Learning Natalie Lang Elad Sofer Tomer Shaked Nir Shlezinger FedML 46 46 0 23 Aug 2022
Decentralized Collaborative Learning with Probabilistic Data Protection T. Idé Raymond H. Putra FedML 38 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 41 13 0 21 Aug 2022
A Review of Federated Learning in Energy Systems Xu Cheng Chendan Li Xiufeng Liu 37 26 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 11 2 0 20 Aug 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 27 12 0 19 Aug 2022
Recent Advances of Blockchain and its Applications Xiao Li Wei Wu 40 15 0 16 Aug 2022
FedPerm: Private and Robust Federated Learning by Parameter Permutation Hamid Mozaffari Virendra J. Marathe D. Dice FedML 52 4 0 16 Aug 2022
Collaborative causal inference on distributed data Yuji Kawamata Ryoki Motai Yukihiko Okada A. Imakura T. Sakurai 18 8 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 50 15 0 16 Aug 2022
Knowledge-Injected Federated Learning Zhenan Fan Zirui Zhou Jian Pei M. Friedlander Jiajie Hu Chengliang Li Yong Zhang FedML 38 4 0 16 Aug 2022
Federated Quantum Natural Gradient Descent for Quantum Federated Learning Jun Qi FedML 24 16 0 15 Aug 2022
A Modified UDP for Federated Learning Packet Transmissions B. Mahembe Clement N. Nyirenda 26 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 22 18 0 10 Aug 2022
Towards Energy-Aware Federated Learning on Battery-Powered Clients Amna Arouj A. Abdelmoniem 43 26 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 55 67 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 28 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 46 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 66 60 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 33 21 0 02 Aug 2022
Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer Jicheng Li Anjana Bhat R. Barmaki ViT 32 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 37 21 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 52 59 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 44 19 0 28 Jul 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 27 7 0 28 Jul 2022
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences Mubashir Imran Hongzhi Yin Tong Chen Nguyen Quoc Viet Hung Alexander Zhou Kai Zheng 36 69 0 28 Jul 2022
Fine-grained Private Knowledge Distillation Yuntong Li Shaowei Wang Yingying Wang Jin Li Yuqiu Qian Bangzhou Xin Wei Yang 34 0 0 27 Jul 2022
Reconciling Security and Communication Efficiency in Federated Learning Karthik Prasad Sayan Ghosh Graham Cormode Ilya Mironov Ashkan Yousefpour Pierre Stock FedML 38 8 0 26 Jul 2022
Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment Tian Liu Xueyang Hu Tao Shu AAML FedML 29 6 0 25 Jul 2022
Accelerating Vertical Federated Learning Dongqi Cai Tao Fan Yan Kang Lixin Fan Mengwei Xu Shangguang Wang Qiang Yang FedML 19 7 0 23 Jul 2022
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion Xu Zhou Xinyu Lei Cong Yang Yichun Shi Xiao Zhang Jin-Yang Shi FedML 38 0 0 23 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 44 9 0 21 Jul 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology Tuong Khanh Long Do Binh X. Nguyen Vuong Pham Toan V. Tran Erman Tjiputra Quang-Dieu Tran A. Nguyen FedML AI4CE 43 3 0 20 Jul 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 52 83 0 20 Jul 2022
FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing Amit Kumar Kundu Joseph Jaja FedML 30 3 0 19 Jul 2022
Over-the-Air Federated Edge Learning with Hierarchical Clustering Ozan Aygün M. Kazemi Deniz Gündüz T. Duman 37 5 0 19 Jul 2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond Yuzheng Hu Tianle Cai Jinyong Shan Shange Tang Chaochao Cai Ethan Song Yue Liu D. Song FedML AAML 30 9 0 19 Jul 2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Hua Ma Qun Li Yifeng Zheng Zhi Zhang Xiaoning Liu Yan Gao S. Al-Sarawi Derek Abbott FedML 44 3 0 19 Jul 2022
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar S. Kadhe Heiko Ludwig FedML 38 22 0 15 Jul 2022