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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
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 47 5 0 20 Jul 2023
Communication-Efficient Federated Learning over Capacity-Limited Wireless Networks Jae-Bok Yun Yong-Nam Oh Yo-Seb Jeon H. Vincent Poor 104 2 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 129 287 0 20 Jul 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 71 70 0 18 Jul 2023
Optimal Compression of Unit Norm Vectors in the High Distortion Regime He Zhu Avishek Ghosh A. Mazumdar 46 3 0 16 Jul 2023
MGit: A Model Versioning and Management System Wei Hao Daniel Mendoza Rafael Ferreira da Silva Deepak Narayanan Amar Phanishayee VLM 58 1 0 14 Jul 2023
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise Antesh Upadhyay Abolfazl Hashemi 97 9 0 14 Jul 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 86 7 0 14 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 111 0 0 12 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 82 13 0 11 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 105 5 0 05 Jul 2023
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks Zhaomin Wu Junyi Hou Bin He FedML 126 5 0 05 Jul 2023
FedHIL: Heterogeneity Resilient Federated Learning for Robust Indoor Localization with Mobile Devices Danish Gufran S. Pasricha 68 22 0 04 Jul 2023
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML 80 2 0 02 Jul 2023
A Survey on Blockchain-Based Federated Learning and Data Privacy Bipin Chhetri Saroj Gopali Rukayat Olapojoye Samin Dehbashi A. Namin 33 10 0 29 Jun 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably Ziheng Cheng Xinmeng Huang Pengfei Wu Kun Yuan FedML 159 20 0 28 Jun 2023
Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin Peter Richtárik AI4CE 117 6 0 28 Jun 2023
Federated Generative Learning with Foundation Models Jie Zhang Xiaohua Qi Bo Zhao FedML 124 22 0 28 Jun 2023
Correct orchestration of Federated Learning generic algorithms: formalisation and verification in CSP Ivan Prokić S. Ghilezan Simona Kasterovic M. Popovic M. Popovic I. Kastelan FedML 85 5 0 26 Jun 2023
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing Jinglong Luo Yehong Zhang Jiaqi Zhang Shuang Qin Haibo Wang Yue Yu Zenglin Xu 87 5 0 26 Jun 2023
Federated Learning on Non-iid Data via Local and Global Distillation Xiaolin Zheng Senci Ying Fei Zheng Jianwei Yin Longfei Zheng Chaochao Chen Fengqin Dong FedML 86 7 0 26 Jun 2023
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks Pranav Dahiya Ilia Shumailov Ross J. Anderson SILM AAML 78 2 0 24 Jun 2023
Learning Unseen Modality Interaction Yunhua Zhang Hazel Doughty Cees G. M. Snoek 137 6 0 22 Jun 2023
Adaptive Compression in Federated Learning via Side Information Berivan Isik Francesco Pase Deniz Gunduz Sanmi Koyejo Tsachy Weissman M. Zorzi FedML 86 9 0 22 Jun 2023
Breaking On-device Training Memory Wall: A Systematic Survey Shitian Li Chunlin Tian Kahou Tam Ruirui Ma Li Li 115 2 0 17 Jun 2023
Towards Quantum Federated Learning Chao Ren Han Yu Rudai Yan Minrui Xu Yuan Shen Huihui Zhu Dusit Niyato Zhaoyang Dong L. Kwek FedML AI4CE 86 19 0 16 Jun 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 126 58 0 15 Jun 2023
Towards Practical Federated Causal Structure Learning Zhaoyu Wang Pingchuan Ma Shuai Wang 76 5 0 15 Jun 2023
An Efficient and Multi-private Key Secure Aggregation for Federated Learning Xue Yang Zifeng Liu Xiaohu Tang Rongxing Lu Bo Liu FedML 44 5 0 15 Jun 2023
Differentially Private Wireless Federated Learning Using Orthogonal Sequences Xizixiang Wei Tianhao Wang Ruiquan Huang Cong Shen Jing Yang H. Vincent Poor 112 1 0 14 Jun 2023
Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine Beatrice Milik S. Saraev Cristian Bleotiu Radu Lupaescu 96 0 0 14 Jun 2023
Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content Tiantian Feng Digbalay Bose Xuan Shi Shrikanth Narayanan 64 1 0 13 Jun 2023
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy Soroosh Tayebi Arasteh Mahshad Lotfinia T. Nolte Marwin Saehn P. Isfort Christiane Kuhl S. Nebelung Georgios Kaissis Daniel Truhn MedIm 73 9 0 10 Jun 2023
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often! Romain Chor Abdellatif Zaidi Milad Sefidgaran Yijun Wan FedML 79 7 0 09 Jun 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation Berivan Isik Wei-Ning Chen Ayfer Özgür Tsachy Weissman Albert No 119 19 0 08 Jun 2023
Improving Accelerated Federated Learning with Compression and Importance Sampling Michal Grudzieñ Grigory Malinovsky Peter Richtárik FedML 88 11 0 05 Jun 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers Junyuan Hong Yi Zeng Shuyang Yu Lingjuan Lyu R. Jia Jiayu Zhou AAML 57 9 0 04 Jun 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 121 98 0 02 Jun 2023
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning Xiang Ma Qun Wang Haijian Sun R. Hu Y. Qian 34 5 0 01 Jun 2023
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks S. Krishnan Jihong Park S. Sagar Gregory Sherman Benjamin Campbell Jinho Choi 56 4 0 01 Jun 2023
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning Xing Yi Rongpeng Li Chenghui Peng Fei Wang Jianjun Wu Zhifeng Zhao 75 2 0 01 Jun 2023
A Simple Python Testbed for Federated Learning Algorithms M. Popovic M. Popovic I. Kastelan Miodrag Djukic S. Ghilezan FedML 71 10 0 31 May 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity Konstantin Mishchenko Rustem Islamov Eduard A. Gorbunov Samuel Horváth FedML 100 11 0 29 May 2023
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning Xiaojin Zhang Yan Kang Lixin Fan Kai Chen Qiang Yang FedML 67 6 0 28 May 2023
Federated Empirical Risk Minimization via Second-Order Method S. Bian Zhao Song Junze Yin FedML 87 8 0 27 May 2023
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms Tianshu Zhang Changchang Liu Wei-Han Lee Yu-Chuan Su Huan Sun FedML 54 5 0 26 May 2023
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 78 4 0 26 May 2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients Hao Fei Fuxun Yu Yongbo Yu Minjia Zhang Ang Li Xiang Chen FedML 52 2 0 25 May 2023
Federated Composite Saddle Point Optimization Site Bai Brian Bullins FedML 65 0 0 25 May 2023
Momentum Provably Improves Error Feedback! Ilyas Fatkhullin Alexander Tyurin Peter Richtárik 116 23 0 24 May 2023