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
Gradient Leakage Defense with Key-Lock Module for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma Jianfeng Ma FedML 37 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 30 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 63 22 0 04 May 2023
Federated Neural Radiance Fields Lachlan Holden Feras Dayoub D. Harvey Tat-Jun Chin FedML AI4CE 40 4 0 02 May 2023
Communication-Constrained Bandits under Additive Gaussian Noise Prathamesh Mayekar Jonathan Scarlett Vincent Y. F. Tan 34 2 0 25 Apr 2023
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation Su Wang Seyyedali Hosseinalipour Christopher G. Brinton 41 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 32 9 0 21 Apr 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 30 14 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 28 8 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 18 11 0 16 Apr 2023
Practical Differentially Private and Byzantine-resilient Federated Learning Zihang Xiang Tianhao Wang Wanyu Lin Di Wang FedML 38 22 0 15 Apr 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 35 24 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 36 36 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 23 4 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 32 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 34 4 0 11 Apr 2023
Balancing Privacy and Performance for Private Federated Learning Algorithms Xiangjiang Hou Sarit Khirirat Mohammad Yaqub Samuel Horváth FedML 30 0 0 11 Apr 2023
Accelerating Hybrid Federated Learning Convergence under Partial Participation Jieming Bian Lei Wang Kun Yang Cong Shen Jie Xu FedML 30 11 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 28 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 33 6 0 07 Apr 2023
Approximate Wireless Communication for Federated Learning Xiang Ma Haijian Sun R. Hu Y. Qian 17 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 100 124 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 34 25 0 04 Apr 2023
A Communication-efficient Local Differentially Private Algorithm in Federated Optimization Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 29 2 0 04 Apr 2023
SLPerf: a Unified Framework for Benchmarking Split Learning Tianchen Zhou Zhanyi Hu Bingzhe Wu Cen Chen FedML 27 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 54 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 13 4 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 32 55 0 28 Mar 2023
Asynchronous Online Federated Learning with Reduced Communication Requirements François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh 32 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 29 103 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 51 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 117 26 0 23 Mar 2023
Federated Learning for Metaverse: A Survey Yao Chen Shan Huang Wensheng Gan Gengsen Huang Yongdong Wu FedML 40 20 0 23 Mar 2023
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing Vishnu Pandi Chellapandi Antesh Upadhyay Abolfazl Hashemi Stanislaw H. .Zak FedML 37 31 0 19 Mar 2023
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach Dan Ben Ami Kobi Cohen Qing Zhao FedML 34 11 0 18 Mar 2023
MODIFY: Model-driven Face Stylization without Style Images Yuhe Ding Jian Liang Jie Cao A. Zheng Ran He CVBM 33 2 0 17 Mar 2023
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks Rohit Parasnis Seyyedali Hosseinalipour Yun-Wei Chu M. Chiang Christopher G. Brinton FedML 32 16 0 15 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service Muhammad Jahanzeb Khan Rui Hu Mohammad Sadoghi Dongfang Zhao FedML 15 0 0 15 Mar 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues Mohamed Akrout Amal Feriani F. Bellili A. Mezghani Ekram Hossain OOD AI4CE 47 27 0 13 Mar 2023
Multi-metrics adaptively identifies backdoors in Federated learning Siquan Huang Yijiang Li Chong Chen Leyu Shi Ying Gao AAML 43 19 0 12 Mar 2023
Papaya: Federated Learning, but Fully Decentralized Ram M. Kripa Andy Zou Ryan Jia Kenny Huang FedML 17 0 0 10 Mar 2023
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning Yi-Rui Yang Kun Wang Wulu Li FedML 52 3 0 09 Mar 2023
Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning AprilPyone Maungmaung Hitoshi Kiya FedML DiffM 31 3 0 09 Mar 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Xun Chen Lichao Sun FedML 33 7 0 08 Mar 2023
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression Avetik G. Karagulyan Peter Richtárik FedML 39 6 0 08 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 26 11 0 07 Mar 2023
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection Oguzhan Akcin Po-han Li Shubhankar Agarwal Sandeep Chinchali 28 3 0 07 Mar 2023
Communication Trade-offs in Federated Learning of Spiking Neural Networks Soumi Chaki David Weinberg Ayça Özçelikkale FedML 34 1 0 27 Feb 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent Jun Qi Xiaolin Zhang Javier Tejedor FedML 25 8 0 27 Feb 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning Shih-Fang Chang Benny Wei-Yun Hsu Tien-Yu Chang Vincent S. Tseng 13 2 0 27 Feb 2023