Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,848 papers shown

Title
Federated Combinatorial Multi-Agent Multi-Armed Bandits Fares Fourati Mohamed-Slim Alouini Vaneet Aggarwal FedML 33 5 0 09 May 2024
FedStale: leveraging stale client updates in federated learning Angelo Rodio Giovanni Neglia FedML 40 4 0 07 May 2024
Federated Learning for Drowsiness Detection in Connected Vehicles William Lindskog Valentin Spannagl Christian Prehofer FedML 19 1 0 06 May 2024
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth Zhuansun Ying Dandan Li Xiaohong Huang Caijun Sun FedML 22 0 0 06 May 2024
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks William Lindskog Christian Prehofer FedML 57 1 0 03 May 2024
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data William Lindskog Christian Prehofer Sarandeep Singh FedML 23 0 0 03 May 2024
Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case William Lindskog Christian Prehofer FedML 22 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 39 5 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 32 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 57 3 0 02 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 42 3 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 38 13 0 29 Apr 2024
Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networks Afsaneh Mahmoudi M. Zaher Emil Björnson 31 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 29 3 0 24 Apr 2024
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency Yueqi Xie Minghong Fang Neil Zhenqiang Gong AAML 34 7 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 36 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 Wang 39 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 38 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 29 6 0 22 Apr 2024
New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis Yuta Kawakami Yuichi Takano Akira Imakura 32 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 21 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 38 4 0 22 Apr 2024
End-to-End Verifiable Decentralized Federated Learning Chaehyeon Lee Jonathan Heiss Stefan Tai James Won-Ki Hong 31 2 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 32 0 0 18 Apr 2024
Improved Generalization Bounds for Communication Efficient Federated Learning Peyman Gholami H. Seferoglu FedML AI4CE 26 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 45 0 0 17 Apr 2024
Federated Learning on Riemannian Manifolds with Differential Privacy Zhenwei Huang Wen Huang Pratik Jawanpuria Bamdev Mishra FedML 39 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 37 1 0 15 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 33 4 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 38 0 0 09 Apr 2024
Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning Zhihao Lin Wei Ma Tao Lin Yaowen Zheng Jingquan Ge Jun Wang Jacques Klein Tegawende F. Bissyande Yang Liu Li Li VLM 35 4 0 09 Apr 2024
You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks Qiushi Li Yan Zhang Ju Ren Qi Li Yaoxue Zhang AAML PICV 41 23 0 05 Apr 2024
Goldfish: An Efficient Federated Unlearning Framework Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 39 3 0 04 Apr 2024
An Interpretable Client Decision Tree Aggregation process for Federated Learning Alberto Argente-Garrido Cristina Zuheros M. V. Luzón Francisco Herrera FedML 21 3 0 03 Apr 2024
Optimal Batch Allocation for Wireless Federated Learning Jaeyoung Song Sang-Woon Jeon 31 0 0 03 Apr 2024
Continual Learning for Smart City: A Survey Li Yang Zhipeng Luo Shi-sheng Zhang Fei Teng Tian-Jie Li HAI 30 8 0 01 Apr 2024
Improving the Bit Complexity of Communication for Distributed Convex Optimization Mehrdad Ghadiri Yin Tat Lee Swati Padmanabhan W. Swartworth David P. Woodruff Guanghao Ye 25 5 0 28 Mar 2024
Tiny Machine Learning: Progress and Futures Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Song Han 52 51 0 28 Mar 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 53 4 0 27 Mar 2024
On permutation-invariant neural networks Masanari Kimura Ryotaro Shimizu Yuki Hirakawa Ryosuke Goto Yuki Saito OOD AAML 41 12 0 26 Mar 2024
FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling Ashish Bastola Hao Wang Xiwen Chen Abolfazl Razi 28 0 0 26 Mar 2024
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients Ping Luo Xiaoge Deng Ziqing Wen Tao Sun Dongsheng Li FedML 46 0 0 25 Mar 2024
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures Hao Song Jiacheng Yao Zhengxi Li Shaocong Xu Shibo Jin Jiajun Zhou Chenbo Fu Qi Xuan Shanqing Yu FedML 44 0 0 24 Mar 2024
TablePuppet: A Generic Framework for Relational Federated Learning Lijie Xu Chulin Xie Yiran Guo Gustavo Alonso Bo-wen Li Guoliang Li Wei Wang Wentao Wu Ce Zhang FedML 39 0 0 23 Mar 2024
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models John Fischer Marko Orescanin Justin Loomis Patrick McClure FedML 51 3 0 22 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 41 4 0 21 Mar 2024
Byzantine-resilient Federated Learning With Adaptivity to Data Heterogeneity Shiyuan Zuo Xingrun Yan Rongfei Fan Han Hu Hangguan Shan Tony Q. S. Quek FedML AAML 54 6 0 20 Mar 2024
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis Vishnu Pandi Chellapandi Antesh Upadhyay Abolfazl Hashemi Stanislaw H. .Zak FedML 30 2 0 20 Mar 2024
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images Zaid Tasneem Akshat Dave Abhishek Singh Kushagra Tiwary Praneeth Vepakomma Ashok Veeraraghavan Ramesh Raskar 37 0 0 19 Mar 2024
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks Zhengyi Lin Guanqiao Qu Wei Wei Xianhao Chen Kin K. Leung 56 48 0 19 Mar 2024