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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
Local Methods with Adaptivity via Scaling Saveliy Chezhegov Sergey Skorik Nikolas Khachaturov Danil Shalagin A. Avetisyan Aleksandr Beznosikov Martin Takáč Yaroslav Kholodov Alexander Gasnikov 117 3 0 02 Jun 2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning Mina Rafiei Mohammadmahdi Maheri Hamid R. Rabiee 83 0 0 01 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 88 0 0 31 May 2024
Optimally Improving Cooperative Learning in a Social Setting Shahrzad Haddadan Cheng Xin Jie Gao 65 0 0 31 May 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 75 1 0 30 May 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 88 4 0 30 May 2024
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning Avetik G. Karagulyan Egor Shulgin Abdurakhmon Sadiev Peter Richtárik FedML 103 3 0 30 May 2024
On Vessel Location Forecasting and the Effect of Federated Learning A. Tritsarolis N. Pelekis K. Bereta D. Zissis Y. Theodoridis FedML 61 2 0 30 May 2024
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks D. Kovalev Ekaterina Borodich Alexander Gasnikov Dmitrii Feoktistov 91 1 0 28 May 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning Shutong Chen Tianyi Zhou Guodong Long Jie Ma Jing Jiang Chengqi Zhang FedML 75 2 0 26 May 2024
CAFe: Cost and Age aware Federated Learning S. Liyanaarachchi Kanchana Thilakarathna S. Ulukus FedML 75 0 0 24 May 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation Peihua Mai Ran Yan Yan Pang FedML 84 11 0 24 May 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data Haoran Li Xinyuan Zhao Dadi Guo Hanlin Gu Huiping Zhuang Yuxing Han Yangqiu Song Lixin Fan Qiang Yang 101 1 0 23 May 2024
CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models Huiwen Wu Xiaohan Li Deyi Zhang Xiaogang Xu Xiaogang Xu Puning Zhao Zhe Liu FedML 75 2 0 22 May 2024
Balancing Similarity and Complementarity for Federated Learning Kunda Yan Sen Cui Abudukelimu Wuerkaixi Jingfeng Zhang Bo Han Gang Niu Masashi Sugiyama Changshui Zhang FedML 82 5 0 16 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 77 0 0 15 May 2024
SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning Yuning Yang H. Yu Tianrun Gao Tianrun Gao Xiaohong Liu Xiaodong Xu Ping Zhang Guangyu Wang 75 6 0 15 May 2024
Private Data Leakage in Federated Human Activity Recognition for Wearable Healthcare Devices Kongyang Chen Dongping Zhang Sijia Guan Bing Mi Jiaxing Shen Guoqing Wang FedML 70 1 0 14 May 2024
VALID: a Validated Algorithm for Learning in Decentralized Networks with Possible Adversarial Presence Mayank Bakshi Sara Ghasvarianjahromi Yauhen Yakimenka Allison Beemer O. Kosut Joerg Kliewer 75 0 0 12 May 2024
Age Aware Scheduling for Differentially-Private Federated Learning Kuan-Yu Lin Hsuan-Yin Lin Yu-Pin Hsu Yu-Chih Huang FedML 79 1 0 09 May 2024
Federated Combinatorial Multi-Agent Multi-Armed Bandits Fares Fourati Mohamed-Slim Alouini Vaneet Aggarwal FedML 68 7 0 09 May 2024
FedStale: leveraging stale client updates in federated learning Angelo Rodio Giovanni Neglia FedML 74 5 0 07 May 2024
Federated Learning for Drowsiness Detection in Connected Vehicles William Lindskog Valentin Spannagl Christian Prehofer FedML 57 1 0 06 May 2024
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth Zhuansun Ying Dandan Li Xiaohong Huang Caijun Sun FedML 110 0 0 06 May 2024
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks William Lindskog Christian Prehofer FedML 103 2 0 03 May 2024
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data William Lindskog Christian Prehofer Sarandeep Singh FedML 67 0 0 03 May 2024
Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case William Lindskog Christian Prehofer FedML 42 3 0 03 May 2024
A Survey on Contribution Evaluation in Vertical Federated Learning Yue Cui Chung-ju Huang Yuzhu Zhang Leye Wang Lixin Fan Xiaofang Zhou Qiang Yang FedML 103 7 0 03 May 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning Yanli Li Jehad Ibrahim Huaming Chen Dong Yuan Kim-Kwang Raymond Choo 120 0 0 03 May 2024
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy Wei-Ning Chen Berivan Isik Peter Kairouz Albert No Sewoong Oh Zheng Xu 109 3 0 02 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 114 4 0 02 May 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition Yuxuan Yan Qianqian Yang Shunpu Tang Zhiguo Shi 102 19 0 29 Apr 2024
Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networks Afsaneh Mahmoudi M. Zaher Emil Björnson 61 3 0 28 Apr 2024
An Element-Wise Weights Aggregation Method for Federated Learning Yi Hu Hanchi Ren Chen Hu Jingjing Deng Xianghua Xie FedML 73 3 0 24 Apr 2024
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency Yueqi Xie Minghong Fang Neil Zhenqiang Gong AAML 108 11 0 24 Apr 2024
Federated Learning with Only Positive Labels by Exploring Label Correlations Xuming An Dui Wang Li Shen Yong Luo Han Hu Bo Du Yonggang Wen Dacheng Tao FedML 91 0 0 24 Apr 2024
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks Bingnan Xiao Jingjing Zhang Wei Ni Xin Eric Wang 64 0 0 23 Apr 2024
Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms Taewook Hwang H. Seo S. Jung 80 2 0 23 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 106 9 0 22 Apr 2024
New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis Yuta Kawakami Yuichi Takano Akira Imakura 75 2 0 22 Apr 2024
Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning Rong Wang Guichen Zhou Mingjun Gao Yunpeng Xiao AAML FedML 64 3 0 22 Apr 2024
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 85 7 0 22 Apr 2024
End-to-End Verifiable Decentralized Federated Learning Chaehyeon Lee Jonathan Heiss Stefan Tai James Won-Ki Hong 64 3 0 19 Apr 2024
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning Sungwon Han Hyeonho Song Sungwon Park Meeyoung Cha FedML AAML 68 0 0 18 Apr 2024
Improved Generalization Bounds for Communication Efficient Federated Learning Peyman Gholami H. Seferoglu FedML AI4CE 68 6 0 17 Apr 2024
Approximate Wireless Communication for Lossy Gradient Updates in IoT Federated Learning Xiang Ma Haijian Sun Rose Qingyang Hu Yi Qian 80 0 0 17 Apr 2024
Federated Learning on Riemannian Manifolds with Differential Privacy Zhenwei Huang Wen Huang Pratik Jawanpuria Bamdev Mishra FedML 89 6 0 15 Apr 2024
On the Efficiency of Privacy Attacks in Federated Learning Nawrin Tabassum Ka-Ho Chow Xuyu Wang Wenbin Zhang Yanzhao Wu FedML 67 1 0 15 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 75 6 0 13 Apr 2024
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning Emre Ozfatura Kerem Ozfatura Alptekin Kupcu Deniz Gunduz AAML 96 0 0 09 Apr 2024