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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
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 69 6 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 90 25 0 05 Apr 2024
Goldfish: An Efficient Federated Unlearning Framework Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 74 4 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 79 4 0 03 Apr 2024
Optimal Batch Allocation for Wireless Federated Learning Jaeyoung Song Sang-Woon Jeon 56 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 98 9 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 64 5 0 28 Mar 2024
Tiny Machine Learning: Progress and Futures Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Song Han 90 60 0 28 Mar 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 85 6 0 27 Mar 2024
On permutation-invariant neural networks Masanari Kimura Ryotaro Shimizu Yuki Hirakawa Ryosuke Goto Yuki Saito OOD AAML 94 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 68 1 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 78 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 84 0 0 24 Mar 2024
TablePuppet: A Generic Framework for Relational Federated Learning Lijie Xu Chulin Xie Yiran Guo Gustavo Alonso Yue Liu Guoliang Li Wei Wang Wentao Wu Ce Zhang FedML 95 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 92 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 85 5 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 118 6 0 20 Mar 2024
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis Vishnu Pandi Chellapandi Antesh Upadhyay Abolfazl Hashemi Stanislaw H. .Zak FedML 85 3 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 89 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 130 51 0 19 Mar 2024
KnFu: Effective Knowledge Fusion Seyed Jamal Seyed-Mohammadi Kawa Atapour J. Abouei Arash Mohammadi FedML 56 2 0 18 Mar 2024
Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning Teppei Suzuki 76 10 0 18 Mar 2024
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption Xuanqi Liu Zhuotao Liu Qi Li Ke Xu Mingwei Xu 78 8 0 17 Mar 2024
Federated Learning with Anomaly Detection via Gradient and Reconstruction Analysis Zahir Alsulaimawi 59 1 0 15 Mar 2024
Sentinel-Guided Zero-Shot Learning: A Collaborative Paradigm without Real Data Exposure Fan Wan Xingyu Miao Haoran Duan Jingjing Deng Rui Gao Yang Long VLM 91 5 0 14 Mar 2024
RAF-GI: Towards Robust, Accurate and Fast-Convergent Gradient Inversion Attack in Federated Learning Can Liu Jin Wang Dong-Yang Yu AAML 43 0 0 13 Mar 2024
Cyclic Data Parallelism for Efficient Parallelism of Deep Neural Networks Louis Fournier Edouard Oyallon 99 0 0 13 Mar 2024
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning Can Liu Jin Wang 112 1 0 13 Mar 2024
Efficient Language Model Architectures for Differentially Private Federated Learning Jae Hun Ro Srinadh Bhojanapalli Zheng Xu Yanxiang Zhang A. Suresh FedML 80 3 0 12 Mar 2024
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model Guibo Luo Hanwen Zhang Xiuling Wang Mingzhi Chen Yuesheng Zhu DiffM 72 1 0 12 Mar 2024
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning Hamid Mozaffari Sunav Choudhary Amir Houmansadr 79 2 0 10 Mar 2024
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation Yuxi Liu Guibo Luo Yuesheng Zhu FedML MedIm 92 9 0 08 Mar 2024
Architectural Blueprint For Heterogeneity-Resilient Federated Learning Satwat Bashir T. Dagiuklas Kasra Kassai Muddesar Iqbal 73 1 0 07 Mar 2024
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models Wanru Zhao Yaxin Du Nicholas D. Lane Siheng Chen Yanfeng Wang 94 4 0 07 Mar 2024
Boosting Fairness and Robustness in Over-the-Air Federated Learning Halil Yigit Oksuz Fabio Molinari Henning Sprekeler Joerg Raisch FedML 53 1 0 07 Mar 2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression Laurent Condat Artavazd Maranjyan Peter Richtárik 123 5 0 07 Mar 2024
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation Zahir Alsulaimawi AAML FedML 58 3 0 05 Mar 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models Younghan Lee Yungi Cho Woorim Han Ho Bae Y. Paek FedML AAML 84 2 0 05 Mar 2024
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods Mou Wu Haibin Liao Zhengtao Ding Yonggang Xiao 65 2 0 05 Mar 2024
Partial Federated Learning Tiantian Feng Anil Ramakrishna Jimit Majmudar Charith Peris Jixuan Wang Clement Chung Richard Zemel Morteza Ziyadi Rahul Gupta 82 1 0 03 Mar 2024
Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach Michael Gu Ramasoumya Naraparaju Dongfang Zhao FedML 81 0 0 03 Mar 2024
On the Convergence of Federated Learning Algorithms without Data Similarity Ali Beikmohammadi Sarit Khirirat Sindri Magnússon FedML 89 2 0 29 Feb 2024
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach Bin Wang Jun Fang Hongbin Li Yonina C. Eldar FedML 77 1 0 28 Feb 2024
Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities Luyang Hou Jun Yan Yuankai Wu Chun Wang Tie Qiu 60 0 0 28 Feb 2024
Consensus learning: A novel decentralised ensemble learning paradigm Horia Magureanu Nairi Usher 108 1 0 25 Feb 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study Natalija Mitic Apostolos Pyrgelis Sinem Sav FedML 106 1 0 25 Feb 2024
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 79 2 0 22 Feb 2024
Efficient Unbiased Sparsification Leighton Barnes Timothy Chow Emma Cohen Keith Frankston Benjamin Howard Fred Kochman Daniel Scheinerman Jeffrey VanderKam OT 63 2 0 22 Feb 2024
Fog enabled distributed training architecture for federated learning Aditya Kumar S. Srirama 93 1 0 20 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach Chengyi Ju Jiannong Cao Yu Yang Zhen-Qun Yang Ho Man Lee 56 1 0 19 Feb 2024