Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

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Title
Federated Generative Learning with Foundation Models Jie Zhang Xiaohua Qi Bo Zhao FedML 44 21 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 28 3 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 51 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 43 6 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 34 0 0 24 Jun 2023
Learning Unseen Modality Interaction Yunhua Zhang Hazel Doughty Cees G. M. Snoek 35 3 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 36 9 0 22 Jun 2023
Breaking On-device Training Memory Wall: A Systematic Survey Shitian Li Chunlin Tian Kahou Tam Ruirui Ma Li Li 39 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 44 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 45 48 0 15 Jun 2023
Towards Practical Federated Causal Structure Learning Zhaoyu Wang Pingchuan Ma Shuai Wang 44 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 11 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 53 1 0 14 Jun 2023
Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine Beatrice Milik S. Saraev Cristian Bleotiu Radu Lupaescu 19 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 31 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 26 8 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 40 6 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 63 19 0 08 Jun 2023
Improving Accelerated Federated Learning with Compression and Importance Sampling Michal Grudzieñ Grigory Malinovsky Peter Richtárik FedML 39 10 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 19 8 0 04 Jun 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 53 86 0 02 Jun 2023
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning Xiang Ma Qun Wang Haijian Sun R. Hu Y. Qian 19 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 21 4 0 01 Jun 2023
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning Xing Yi Rongpeng Li Chenghui Peng Fei-Yue Wang Jianjun Wu Zhifeng Zhao 30 2 0 01 Jun 2023
A Simple Python Testbed for Federated Learning Algorithms M. Popovic M. Popovic I. Kastelan Miodrag Djukic S. Ghilezan FedML 22 8 0 31 May 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity Konstantin Mishchenko Rustem Islamov Eduard A. Gorbunov Samuel Horváth FedML 41 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 32 6 0 28 May 2023
Federated Empirical Risk Minimization via Second-Order Method S. Bian Zhao Song Junze Yin FedML 43 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 22 4 0 26 May 2023
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 42 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 27 2 0 25 May 2023
Federated Composite Saddle Point Optimization Site Bai Brian Bullins FedML 43 0 0 25 May 2023
Momentum Provably Improves Error Feedback! Ilyas Fatkhullin A. Tyurin Peter Richtárik 40 20 0 24 May 2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility Xiaojin Zhang Wenjie Li Kai Chen Shutao Xia Qian Yang FedML 30 9 0 24 May 2023
Privacy Implications of Retrieval-Based Language Models Yangsibo Huang Samyak Gupta Zexuan Zhong Keqin Li Danqi Chen RALM 33 29 0 24 May 2023
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization Zhangyu Chang Seyyedali Hosseinalipour M. Chiang Christopher G. Brinton 31 3 0 22 May 2023
FSSA: Efficient 3-Round Secure Aggregation for Privacy-Preserving Federated Learning Fucai Luo Saif M. Al-Kuwari Haiyan Wang Xingfu Yan 19 1 0 22 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 42 33 0 19 May 2023
PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy Achintha Wijesinghe Songyang Zhang Zhi Ding FedML 32 7 0 19 May 2023
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages Soroosh Tayebi Arasteh C. D. Ríos-Urrego E. Noeth Andreas K. Maier Seung Hee Yang J. Rusz J. Orozco-Arroyave FedML 37 13 0 18 May 2023
Mitigating Group Bias in Federated Learning: Beyond Local Fairness G. Wang Ali Payani Myungjin Lee Ramana Rao Kompella FedML 43 8 0 17 May 2023
Artificial intelligence to advance Earth observation: a perspective D. Tuia Konrad Schindler Begüm Demir Gustau Camps-Valls Xiao Xiang Zhu ... Mihai Datcu Jorge-Arnulfo Quiané-Ruiz Volker Markl Bertrand Le Saux Rochelle Schneider 36 10 0 15 May 2023
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning Yumeki Goto Tomoya Matsumoto Hamada Rizk Naoto Yanai Hirozumi Yamaguchi 33 6 0 14 May 2023
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems Yeshwanth Venkatesha Youngeun Kim Hyoungseob Park Priyadarshini Panda FedML 21 4 0 11 May 2023
Securing Distributed SGD against Gradient Leakage Threats Wenqi Wei Ling Liu Jingya Zhou Ka-Ho Chow Yanzhao Wu FedML 34 18 0 10 May 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 48 9 0 09 May 2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity Nannan Wu Li Yu Xue Jiang Kwang-Ting Cheng Zengqiang Yan FedML 38 37 0 09 May 2023
Federated Learning in Wireless Networks via Over-the-Air Computations Halil Yigit Oksuz Fabio Molinari Henning Sprekeler J. Raisch FedML 24 2 0 08 May 2023
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion Xiaojin Zhang Kai Chen Qian Yang FedML 35 5 0 07 May 2023
Joint Compression and Deadline Optimization for Wireless Federated Learning Maojun Zhang Yong Li Dongzhu Liu Richeng Jin Guangxu Zhu Caijun Zhong Tony Q. S. Quek 37 5 0 06 May 2023