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
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 86 0 0 28 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 Kim Guanghui CLL 70 1 0 26 Jan 2025
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning Abdulkadir Korkmaz Praveen Rao FedML 39 0 0 22 Jan 2025
KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks Ankit Gangwal Mauro Conti Tommaso Pauselli AAML 39 0 0 12 Jan 2025
Aggregating Low Rank Adapters in Federated Fine-tuning Evelyn Trautmann Ian Hales Martin F. Volk AI4CE FedML 39 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 41 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 41 0 0 06 Jan 2025
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization Afsaneh Mahmoudi Ming Xiao Emil Björnson 58 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 38 0 0 25 Dec 2024
MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes Igor Sokolov Peter Richtárik 77 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 79 0 0 22 Dec 2024
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity Dmitry Bylinkin Aleksandr Beznosikov 74 1 0 21 Dec 2024
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation HaoYang Li Wei Chen Xiaojin Zhang FedML 78 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 88 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 74 1 0 16 Dec 2024
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks Afsaneh Mahmoudi Emil Björnson 72 1 0 14 Dec 2024
Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha Yezi Liu Ruijie Du Yanning Shen FedML 71 0 0 29 Nov 2024
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment Luca Colombo Alessandro Falcetta Manuel Roveri FedML 92 3 0 25 Nov 2024
Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Yunrui Sun Gang Hu Yinglei Teng Dunbo Cai FedML 73 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 33 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 25 1 0 10 Nov 2024
Client Contribution Normalization for Enhanced Federated Learning Mayank Kumar Kundalwal Anurag Saraswat Ishan Mishra Deepak Mishra FedML 38 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 26 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 35 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 36 2 0 05 Nov 2024
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning Zhuoning Guo Ruiqian Han Hao Liu FedML 28 0 0 04 Nov 2024
Co-clustering for Federated Recommender System Xinrui He Shuo Liu J. Keung Jingrui He FedML 49 9 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 52 3 0 03 Nov 2024
Analysis of regularized federated learning Langming Liu Dingxuan Zhou FedML 16 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 40 2 0 03 Nov 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime Lasse Vuursteen 38 0 0 02 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 30 2 0 02 Nov 2024
Trustworthiness of Stochastic Gradient Descent in Distributed Learning Hongyang Li Caesar Wu Mohammed Chadli Said Mammar Pascal Bouvry 50 1 0 28 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 49 6 0 27 Oct 2024
FL-DABE-BC: A Privacy-Enhanced, Decentralized Authentication, and Secure Communication for Federated Learning Framework with Decentralized Attribute-Based Encryption and Blockchain for IoT Scenarios Sathwik Narkedimilli Amballa Venkata Sriram Satvik Raghav 24 0 0 26 Oct 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data Zhaomin Wu Junyi Hou Yiqun Diao Bingsheng He FedML 42 3 0 23 Oct 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection Charuka Herath Xiaolan Liu S. Lambotharan Y. Rahulamathavan FedML 23 2 0 23 Oct 2024
Tighter Performance Theory of FedExProx Wojciech Anyszka Kaja Gruntkowska A. Tyurin Peter Richtárik FedML 26 0 0 20 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma Chao Pan Rasoul Etesami Han Zhao Olgica Milenković FedML AAML 36 0 0 16 Oct 2024
From promise to practice: realizing high-performance decentralized training Zesen Wang Jiaojiao Zhang Xuyang Wu M. Johansson 21 0 0 15 Oct 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting Chunlin Tian Li Li Kahou Tam Yebo Wu Chengzhong Xu FedML 29 1 0 12 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning H. Yi H. Ren C. Hu Y. Li J. Deng Xin Xie FedML 32 0 0 11 Oct 2024
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments Nikhil Bangad Vivekananda Jayaram Manjunatha Sughaturu Krishnappa Amey Ram Banarse Darshan Mohan Bidkar Akshay Nagpal Vidyasagar Parlapalli 24 0 0 11 Oct 2024
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation Grigory Malinovsky Umberto Michieli Hasan Hammoud Taha Ceritli Hayder Elesedy Mete Ozay Peter Richtárik AI4CE 34 2 0 10 Oct 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning Jingbo Zhang Qiong Wu Pingyi Fan Q. Fan FedML 33 0 0 10 Oct 2024
Federated Neural Nonparametric Point Processes Hui Chen Hengyu Liu Hengyu Liu Xuhui Fan Zhilin Zhao Feng Zhou Christopher J. Quinn Longbing Cao FedML 40 0 0 08 Oct 2024
A Seesaw Model Attack Algorithm for Distributed Learning Kun Yang Tianyi Luo Yanjie Dong Aohan Li AAML FedML 24 0 0 07 Oct 2024
MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times A. Maranjyan Omar Shaikh Omar Peter Richtárik 26 3 0 05 Oct 2024
pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology Monik Raj Behera Suchetana Chakraborty FedML 25 0 0 05 Oct 2024
An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning Rodrigo Moreira R. Villaça Moises R. N. Ribeiro Joberto S. B. Martins J. H. Corrêa Tereza C. Carvalho F. O. Silva 31 4 0 04 Oct 2024