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 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 31 7 0 10 Jul 2024
Stabilized Proximal-Point Methods for Federated Optimization Xiaowen Jiang Anton Rodomanov Sebastian U. Stich FedML 46 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 23 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 22 1 0 04 Jul 2024
Support Vector Based Anomaly Detection in Federated Learning Massimo Frasson Dario Malchiodi 32 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 30 0 0 03 Jul 2024
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps Junchi Yang Murat Yildirim Qiu Feng 40 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 41 31 0 01 Jul 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 36 42 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 23 4 0 26 Jun 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 40 4 0 25 Jun 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 39 0 0 24 Jun 2024
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning Zahir Alsulaimawi 29 0 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 30 2 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 31 1 0 19 Jun 2024
Federated Learning with a Single Shared Image Sunny Soni Aaqib Saeed Yuki M. Asano FedML DD 51 1 0 18 Jun 2024
Training Diffusion Models with Federated Learning Matthijs de Goede Bart Cox Jérémie Decouchant FedML 49 8 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 33 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 25 3 0 17 Jun 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Wenhao Liu Tianlong Li Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 41 3 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 43 5 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 46 18 0 14 Jun 2024
Privacy-preserving Quantification of Non-IID Degree in Federated Learning Yuping Yan Yizhi Wang Yingchao Yu Yaochu Jin FedML 28 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 31 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 38 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 35 6 0 10 Jun 2024
Federated LoRA with Sparse Communication Kevin Kuo Arian Raje Kousik Rajesh Virginia Smith 40 7 0 07 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Bo-wen Li FedML 33 3 0 04 Jun 2024
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization Emre Sahinoglu Shahin Shahrampour 55 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 47 0 0 03 Jun 2024
Local Methods with Adaptivity via Scaling Saveliy Chezhegov Sergey Skorik Nikolas Khachaturov Danil Shalagin A. Avetisyan Aleksandr Beznosikov Martin Takáč Yaroslav Kholodov Alexander Gasnikov 55 2 0 02 Jun 2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning Mina Rafiei Mohammadmahdi Maheri Hamid R. Rabiee 32 0 0 01 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 41 0 0 31 May 2024
Optimally Improving Cooperative Learning in a Social Setting Shahrzad Haddadan Cheng Xin Jie Gao 26 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 34 1 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 46 2 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 41 4 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 27 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 43 0 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 51 1 0 26 May 2024
CAFe: Cost and Age aware Federated Learning S. Liyanaarachchi Kanchana Thilakarathna S. Ulukus FedML 35 0 0 24 May 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation Peihua Mai Ran Yan Yan Pang FedML 48 5 0 24 May 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data Haoran Li Xinyuan Zhao Dadi Guo Hanlin Gu Ziqian Zeng Yuxing Han Yangqiu Song Lixin Fan Qiang Yang 23 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 Jiafei Wu Puning Zhao Zhe Liu FedML 37 0 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 40 1 0 16 May 2024
SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuning Yuning Yang Xiaohong Liu Tianrun Gao Xiaodong Xu Guangyu Wang 37 5 0 15 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 43 0 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 34 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 27 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 27 1 0 09 May 2024