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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
Theoretically Principled Federated Learning for Balancing Privacy and Utility Xiaojin Zhang Wenjie Li Kai Chen Shutao Xia Qian Yang FedML 66 9 0 24 May 2023
Privacy Implications of Retrieval-Based Language Models Yangsibo Huang Samyak Gupta Zexuan Zhong Keqin Li Danqi Chen RALM 66 30 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 99 4 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 33 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 95 35 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 59 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 80 17 0 18 May 2023
Mitigating Group Bias in Federated Learning: Beyond Local Fairness G. Wang Ali Payani Myungjin Lee Ramana Rao Kompella FedML 71 11 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 122 12 0 15 May 2023
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning Yumeki Goto Tomoya Matsumoto Hamada Rizk Naoto Yanai Hirozumi Yamaguchi 88 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 45 4 0 11 May 2023
Securing Distributed SGD against Gradient Leakage Threats Wenqi Wei Ling Liu Jingya Zhou Ka-Ho Chow Yanzhao Wu FedML 68 19 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 155 12 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 114 40 0 09 May 2023
Federated Learning in Wireless Networks via Over-the-Air Computations Halil Yigit Oksuz Fabio Molinari Henning Sprekeler J. Raisch FedML 49 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 75 5 0 07 May 2023
Joint Compression and Deadline Optimization for Wireless Federated Learning Maojun Zhang Yongqian Li Dongzhu Liu Richeng Jin Guangxu Zhu Caijun Zhong Tony Q. S. Quek 93 5 0 06 May 2023
Gradient Leakage Defense with Key-Lock Module for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma Jianfeng Ma FedML 146 2 0 06 May 2023
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training Dmitrii Usynin Daniel Rueckert Georgios Kaissis FedML 106 2 0 04 May 2023
Cuttlefish: Low-Rank Model Training without All the Tuning Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 158 23 0 04 May 2023
Federated Neural Radiance Fields Lachlan Holden Feras Dayoub D. Harvey Tat-Jun Chin FedML AI4CE 91 4 0 02 May 2023
Communication-Constrained Bandits under Additive Gaussian Noise Prathamesh Mayekar Jonathan Scarlett Vincent Y. F. Tan 94 2 0 25 Apr 2023
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation Su Wang Seyyedali Hosseinalipour Christopher G. Brinton 116 6 0 24 Apr 2023
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications Viktorija Pruckovskaja Axel Weissenfeld Clemens Heistracher Anita Graser Julia Kafka P. Leputsch Daniel Schall J. Kemnitz FedML 65 12 0 21 Apr 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 85 16 0 20 Apr 2023
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives Hafsa Bousbiat Roumaysa Bousselidj Yassine Himeur Abbes Amira F. Bensaali F. Fadli W. Mansoor W. Elmenreich 57 9 0 17 Apr 2023
FedBlockHealth: A Synergistic Approach to Privacy and Security in IoT-Enabled Healthcare through Federated Learning and Blockchain Nazar Waheed A. Rehman Anushka Nehra Mahnoor Farooq Nargis Tariq M. Jan Fazlullah Khan Abeer Z. Alalmaie P. Nanda 103 11 0 16 Apr 2023
Practical Differentially Private and Byzantine-resilient Federated Learning Zihang Xiang Tianhao Wang Wanyu Lin Di Wang FedML 78 23 0 15 Apr 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 101 26 0 14 Apr 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services Dewant Katare Diego Perino J. Nurmi M. Warnier Marijn Janssen Aaron Yi Ding 132 40 0 13 Apr 2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization Xujing Li Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 62 5 0 12 Apr 2023
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation Li Lin Jiewei Wu Yixiang Liu Kenneth K. Y. Wong Xiaoying Tang FedML 92 6 0 12 Apr 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 68 4 0 11 Apr 2023
Balancing Privacy and Performance for Private Federated Learning Algorithms Xiangjiang Hou Sarit Khirirat Mohammad Yaqub Samuel Horváth FedML 66 0 0 11 Apr 2023
Accelerating Hybrid Federated Learning Convergence under Partial Participation Jieming Bian Lei Wang Kun Yang Cong Shen Jie Xu FedML 123 14 0 10 Apr 2023
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid Polaki Durga Prasad Yelleti Vivek V. Ravi FedML 58 0 0 09 Apr 2023
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning R. Behnia Mohammadreza Ebrahimi Arman Riasi Sherman S. M. Chow B. Padmanabhan Thang Hoang 104 7 0 07 Apr 2023
Approximate Wireless Communication for Federated Learning Xiang Ma Haijian Sun R. Hu Y. Qian 41 3 0 06 Apr 2023
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models Pengfei Li Jianyi Yang M. A. Islam Shaolei Ren 241 132 0 06 Apr 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation Wei-Ning Chen Danni Song Ayfer Özgür Peter Kairouz FedML 90 28 0 04 Apr 2023
A Communication-efficient Local Differentially Private Algorithm in Federated Optimization Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 62 2 0 04 Apr 2023
SLPerf: a Unified Framework for Benchmarking Split Learning Tianchen Zhou Zhanyi Hu Bingzhe Wu Cen Chen FedML 88 4 0 04 Apr 2023
DPP-based Client Selection for Federated Learning with Non-IID Data Yuxuan Zhang Chao Xu Howard H. Yang Xijun Wang Tony Q.S. Quek FedML 99 5 0 30 Mar 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 89 5 0 29 Mar 2023
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 76 62 0 28 Mar 2023
Asynchronous Online Federated Learning with Reduced Communication Requirements François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh 77 6 0 27 Mar 2023
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks Zhengyi Lin Guangyu Zhu Yiqin Deng Xianhao Chen Yue Gao Kaibin Huang Yuguang Fang 94 113 0 26 Mar 2023
Green Federated Learning Ashkan Yousefpour Sheng Guo Ashish Shenoy Sayan Ghosh Pierre Stock Kiwan Maeng Schalk-Willem Kruger Michael G. Rabbat Carole-Jean Wu Ilya Mironov FedML AI4CE 108 10 0 26 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated Learning Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 148 29 0 23 Mar 2023
Federated Learning for Metaverse: A Survey Yao Chen Shan Huang Wensheng Gan Gengsen Huang Yongdong Wu FedML 62 21 0 23 Mar 2023