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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
WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models Tao Feng Jie Zhang Xiangjian Li Rong Huang Huashan Liu Zhijie Wang FedML 98 0 0 05 Mar 2025
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing Zhichao You Xuewen Dong Ke Cheng Xutong Mu Jiaxuan Fu Shiyang Ma Qiang Qu Yulong Shen FedML 119 0 0 05 Mar 2025
AugFL: Augmenting Federated Learning with Pretrained Models Sheng Yue Zerui Qin Yongheng Deng Ju Ren Yaoxue Zhang Junshan Zhang FedML 135 0 0 04 Mar 2025
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification Andy Dong Wei-Ning Chen Ayfer Özgür FedML 117 1 0 04 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Romain Chor Milad Sefidgaran Abdellatif Zaidi FedML 123 1 0 03 Mar 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction Nazmul Islam Mohammad Zulkernine 82 0 0 03 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 131 0 0 01 Mar 2025
Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing Yuhu Feng Keisuke Maeda Takahiro Ogawa Miki Haseyama FedML EgoV 114 0 0 25 Feb 2025
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning Zhizhi Peng Taotao Wang Chonghe Zhao Guofu Liao Zibin Lin Yixiao Liu Bin Cao Long Shi Qing Yang Shengli Zhang 118 5 0 25 Feb 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning Raghav Singhal Kaustubh Ponkshe Rohit Vartak Lav R. Varshney Praneeth Vepakomma FedML 128 4 0 24 Feb 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 167 0 0 24 Feb 2025
Smoothed Normalization for Efficient Distributed Private Optimization Egor Shulgin Sarit Khirirat Peter Richtárik FedML 139 0 0 20 Feb 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu Shiqi Gao Chao Li J. Joshi Jianxin Li 97 5 0 08 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 113 0 0 03 Feb 2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning Artavazd Maranjyan El Mehdi Saad Peter Richtárik Francesco Orabona 192 1 0 02 Feb 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion Binchi Zhang Zaiyi Zheng Zhengzhang Chen Wenlin Yao 230 1 0 01 Feb 2025
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization Kevin Cooper Michael Geller 121 0 0 30 Jan 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 160 0 0 28 Jan 2025
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity Artavazd Maranjyan Alexander Tyurin Peter Richtárik 134 4 0 27 Jan 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori Il-Min Kim Guanghui CLL 171 2 0 26 Jan 2025
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning Abdulkadir Korkmaz Praveen Rao FedML 154 1 0 22 Jan 2025
KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks Ankit Gangwal Mauro Conti Tommaso Pauselli AAML 105 0 0 12 Jan 2025
Aggregating Low Rank Adapters in Federated Fine-tuning Evelyn Trautmann Ian Hales Martin F. Volk AI4CE FedML 90 0 0 10 Jan 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Runhua Xu Bo Li Chao Li J. Joshi Shuai Ma Jianxin Li FedML 132 10 0 10 Jan 2025
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization Sudeep Salgia Nikola Pavlovic Yuejie Chi Qing Zhao 124 0 0 06 Jan 2025
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization Afsaneh Mahmoudi Ming Xiao Emil Björnson 121 0 0 31 Dec 2024
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data Serkan Salturk Irem Sayin Ibrahim Cem Balci Taha Emre Pamukcu Zafer Soydan Huseyin Uvet 76 2 0 25 Dec 2024
MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes Igor Sokolov Peter Richtárik 156 1 0 22 Dec 2024
Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning Moqbel Hamood A. Albaseer M. Abdallah Ala I. Al-Fuqaha 159 0 0 22 Dec 2024
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity Dmitry Bylinkin Aleksandr Beznosikov 154 1 0 21 Dec 2024
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation HaoYang Li Wei Chen Xiaojin Zhang FedML 109 0 0 18 Dec 2024
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning Andrei Semenov Philip Zmushko Alexander Pichugin Aleksandr Beznosikov 135 0 0 16 Dec 2024
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training Milad Soltany Farhad Pourpanah Mahdiyar Molahasani Michael A. Greenspan Ali Etemad FedML 177 2 0 16 Dec 2024
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks Afsaneh Mahmoudi Emil Björnson 168 1 0 14 Dec 2024
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting Nikolaos Pavlidis V. Perifanis Selim F. Yilmaz F. Wilhelmi M. Miozzo P. Efraimidis R. Koutsiamanis Pavol Mulinka Paolo Dini 94 2 0 05 Dec 2024
Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha Yezi Liu Ruijie Du Yanning Shen FedML 110 0 0 29 Nov 2024
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment Luca Colombo Alessandro Falcetta Manuel Roveri FedML 189 4 0 25 Nov 2024
Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Yunrui Sun Gang Hu Yinglei Teng Dunbo Cai FedML 89 0 0 21 Nov 2024
Differentially-Private Collaborative Online Personalized Mean Estimation Yauhen Yakimenka Chung-Wei Weng Hsuan-Yin Lin E. Rosnes J. Kliewer FedML 91 1 0 11 Nov 2024
Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling Andreas Athanasiou Kangsoo Jung C. Palamidessi FedML 105 1 0 10 Nov 2024
Client Contribution Normalization for Enhanced Federated Learning Mayank Kumar Kundalwal Anurag Saraswat Ishan Mishra Deepak Mishra FedML 69 0 0 10 Nov 2024
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement Jiechao Gao Yuangang Li Syeda Faiza Ahmed 62 2 0 07 Nov 2024
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning Tao Liu Wu Yang Chen Xu Jiguang Lv Huanran Wang Yuhang Zhang Shuchun Xu Dapeng Man AAML FedML 70 0 0 06 Nov 2024
Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising Tao Huang Jiayang Meng Hong Chen Guolong Zheng Xu Yang Xun Yi Hua Wang DiffM 76 2 0 05 Nov 2024
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning Zhuoning Guo Ruiqian Han Hao Liu FedML 100 0 0 04 Nov 2024
Co-clustering for Federated Recommender System Xinrui He Shuo Liu J. Keung Jingrui He FedML 95 12 0 03 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 117 11 0 03 Nov 2024
Analysis of regularized federated learning Langming Liu Dingxuan Zhou FedML 43 0 0 03 Nov 2024
Efficient and Robust Regularized Federated Recommendation Langming Liu Wanyu Wang Xiangyu Zhao Zijian Zhang Chunxu Zhang ... Lixin Zou Zitao Liu Xuetao Wei Hongzhi Yin Qing Li FedML 113 3 0 03 Nov 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime Lasse Vuursteen 57 0 0 02 Nov 2024