v1v2 (latest)

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
Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning Joon Kim Sejin Park AAML FedML 102 2 0 15 Aug 2024
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability Mario Padilla Rodriguez Mohamed Nafea FedML 69 0 0 12 Aug 2024
Deep Learning with Data Privacy via Residual Perturbation Wenqi Tao Huaming Ling Zuoqiang Shi Bao Wang 73 2 0 11 Aug 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data Ji Liu Juncheng Jia Hong Zhang Yuhui Yun Leye Wang Yang Zhou H. Dai Dejing Dou FedML 85 7 0 11 Aug 2024
Model Hijacking Attack in Federated Learning Zheng Li Siyuan Wu Ruichuan Chen Paarijaat Aditya Istemi Ekin Akkus Manohar Vanga Min Zhang Hao Li Yang Zhang FedML AAML 64 0 0 04 Aug 2024
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix Yang Jin Sihun Baek Lei Zhang Hyelin Nam Praneeth Vepakomma Ramesh Raskar Mehdi Bennis Seong-Lyun Kim 66 3 0 02 Aug 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 133 1 0 30 Jul 2024
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain Weiliang Chen Li Jia Yang Zhou Qianqian Ren 62 1 0 28 Jul 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu Xingchen Wang Yaqing Wang Tianci Liu Lu Su Jing Gao FedML 126 5 0 28 Jul 2024
SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment Sai Puppala Ismail Hossain Md. jahangir Alam Sajedul Talukder Zahidur Talukder Syed Bahauddin 112 3 0 25 Jul 2024
SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devices Linxiao Cao Yifei Zhu Wei Gong FedML 74 4 0 24 Jul 2024
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models Navid Seidi Satyaki Roy Sajal Das Ardhendu Shekhar Tripathy 91 3 0 20 Jul 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models Simha Sankar Baradwaj Destiny Gilliland Jack Rincon Henning Hermjakob Yu Yan ... Dean Wang Karol Watson Alex Bui Wei Wang Peipei Ping 108 6 0 18 Jul 2024
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging Sunny Gupta Amit Sethi MedIm 67 0 0 16 Jul 2024
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication H. Ochiai Riku Nishihata Eisuke Tomiyama Yuwei Sun Hiroshi Esaki 58 7 0 16 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 154 1 0 13 Jul 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ning Wang Shanghao Shi Yang Xiao Yimin Chen Y. T. Hou W. Lou FedML AAML 98 1 0 12 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 115 2 0 12 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 70 0 0 12 Jul 2024
Federated PCA on Grassmann Manifold for IoT Anomaly Detection Tung-Anh Nguyen Long Tan Le Tuan Dung Nguyen Wei Bao Suranga Seneviratne Choong Seon Hong N. H. Tran 62 11 0 10 Jul 2024
Stabilized Proximal-Point Methods for Federated Optimization Xiaowen Jiang Anton Rodomanov Sebastian U. Stich FedML 96 2 0 09 Jul 2024
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory Jiajun Liang Qian Zhang Wei Deng Qifan Song Guang Lin 56 1 0 09 Jul 2024
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning Jiajun Song Jiajun Luo Rongwei Lu Shuzhao Xie Bin Chen Zhi Wang FedML 49 0 0 06 Jul 2024
Real-time Cyberattack Detection with Collaborative Learning for Blockchain Networks Tran Viet Khoa Do Hai Son D. Hoang N. Trung T. T. T. Quynh Diep N. Nguyen Nguyen Viet Ha E. Dutkiewicz 29 1 0 04 Jul 2024
Support Vector Based Anomaly Detection in Federated Learning Massimo Frasson Dario Malchiodi 70 0 0 04 Jul 2024
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning Son Nguyen Thinh Nguyen Khoa D. Doan Kok-Seng Wong FedML AAML 89 0 0 03 Jul 2024
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps Junchi Yang Murat Yildirim Qiu Feng 120 0 0 02 Jul 2024
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Xuanjie Hu Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Ang Li Praneeth Vepakomma Yue Gao 96 37 0 01 Jul 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 142 49 0 27 Jun 2024
FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization Linping Qu Shenghui Song Chi-Ying Tsui MQ FedML 58 4 0 26 Jun 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 82 5 0 25 Jun 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 88 0 0 24 Jun 2024
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning Zahir Alsulaimawi 52 1 0 23 Jun 2024
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach Xiaojing Chen Zhenyuan Li Wei Ni Xin Wang Shunqing Zhang Yanzan Sun Shugong Xu Qingqi Pei 87 3 0 21 Jun 2024
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification Xiaoxiong Zhang Zhiwei Zeng Xin Zhou Dusit Niyato Zhiqi Shen FedML 124 1 0 19 Jun 2024
Federated Learning with a Single Shared Image Sunny Soni Aaqib Saeed Yuki M. Asano FedML DD 106 1 0 18 Jun 2024
Training Diffusion Models with Federated Learning Matthijs de Goede Bart Cox Jérémie Decouchant FedML 77 9 0 18 Jun 2024
Low-Resource Machine Translation through the Lens of Personalized Federated Learning Viktor Moskvoretskii N. Tupitsa Chris Biemann Samuel Horváth Eduard A. Gorbunov Irina Nikishina FedML 92 0 0 18 Jun 2024
P3GNN: A Privacy-Preserving Provenance Graph-Based Model for APT Detection in Software Defined Networking Hedyeh Nazari Abbas Yazdinejad Ali Dehghantanha Fattane Zarrinkalam Gautam Srivastava 72 5 0 17 Jun 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Tianlong Li Changze Lv Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 91 5 0 16 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 92 6 0 16 Jun 2024
Byzantine-Robust Decentralized Federated Learning Minghong Fang Zifan Zhang Hairi Prashant Khanduri Jia Liu Songtao Lu Yuchen Liu Neil Zhenqiang Gong AAML FedML OOD 112 25 0 14 Jun 2024
Privacy-preserving Quantification of Non-IID Degree in Federated Learning Yuping Yan Yizhi Wang Yingchao Yu Yaochu Jin FedML 72 0 0 14 Jun 2024
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model Jiayang Meng Tao Huang Hong Chen Cuiping Li DiffM 65 1 0 13 Jun 2024
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters Vasileios Tsouvalas Samaneh Mohammadi Ali Balador T. Ozcelebi Francesco Flammini N. Meratnia FedML 60 0 0 13 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 92 9 0 10 Jun 2024
Federated LoRA with Sparse Communication Kevin Kuo Arian Raje Kousik Rajesh Virginia Smith 111 12 0 07 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Yue Liu FedML 122 5 0 04 Jun 2024
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization Emre Sahinoglu Shahin Shahrampour 81 2 0 03 Jun 2024
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Yuan Yao Gongxi Zhu Bowen Li Jie Li Lixin Fan Qiang Yang 88 1 0 03 Jun 2024