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
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning Reent Schlegel Siddhartha Kumar E. Rosnes Alexandre Graell i Amat FedML 32 43 0 16 Dec 2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig AI4CE 37 25 0 15 Dec 2021
Analysis and Evaluation of Synchronous and Asynchronous FLchain F. Wilhelmi L. Giupponi Paolo Dini 31 5 0 15 Dec 2021
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization Huiming Chen Huandong Wang Quanming Yao Yong Li Depeng Jin Qiang Yang FedML 32 4 0 15 Dec 2021
Optimal Rate Adaption in Federated Learning with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou Jiangchuan Liu FedML 42 40 0 13 Dec 2021
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation Alper Cetinkaya M. Akin Ş. Sağiroğlu OOD FedML 30 16 0 12 Dec 2021
Federated Reinforcement Learning at the Edge Konstantinos Gatsis FedML 34 5 0 11 Dec 2021
Federated Two-stage Learning with Sign-based Voting Zichen Ma Zihan Lu Yu Lu Wenye Li Jinfeng Yi Shuguang Cui FedML 38 2 0 10 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 28 4 0 10 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng Yu-bao Yan Shanshan Wang Yong Xu Ling Shao Huazhu Fu OOD 48 78 0 09 Dec 2021
FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning Keyu Yang Lu Chen Zhihao Zeng Yunjun Gao 30 9 0 08 Dec 2021
Locally Differentially Private Sparse Vector Aggregation Mingxun Zhou Tianhao Wang T-H. Hubert Chan Giulia Fanti E. Shi FedML 50 28 0 07 Dec 2021
Intrinisic Gradient Compression for Federated Learning Luke Melas-Kyriazi Franklyn Wang FedML 23 3 0 05 Dec 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 37 26 0 02 Dec 2021
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets D. Torre D. Liuzzi M. Repetto M. Rocca 40 1 0 02 Dec 2021
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 44 61 0 02 Dec 2021
Communication-Efficient Federated Learning via Quantized Compressed Sensing Yong-Nam Oh Namyoon Lee Yo-Seb Jeon H. Vincent Poor FedML MQ 35 34 0 30 Nov 2021
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 21 9 0 27 Nov 2021
Federated Deep Learning in Electricity Forecasting: An MCDM Approach M. Repetto D. Torre M. Tariq 6 2 0 27 Nov 2021
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning Nikita Zeulin O. Galinina N. Himayat Sergey D. Andreev R. Heath 30 5 0 26 Nov 2021
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning Elnur Gasanov Ahmed Khaled Samuel Horváth Peter Richtárik FedML 32 16 0 22 Nov 2021
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 26 152 0 21 Nov 2021
Satellite Based Computing Networks with Federated Learning Hao Chen Ming Xiao Zhibo Pang 24 82 0 20 Nov 2021
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective Xuezhen Tu Kun Zhu Nguyen Cong Luong Dusit Niyato Yang Zhang Juan Li FedML AI4CE 43 119 0 20 Nov 2021
Over-the-Air Federated Learning with Retransmissions (Extended Version) Henrik Hellström Viktoria Fodor Carlo Fischione 29 2 0 19 Nov 2021
Client Selection in Federated Learning based on Gradients Importance Ouiame Marnissi Hajar Elhammouti El Houcine Bergou FedML 33 16 0 19 Nov 2021
Training Neural Networks with Fixed Sparse Masks Yi-Lin Sung Varun Nair Colin Raffel FedML 32 197 0 18 Nov 2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence Xiang Bai Hanchen Wang Liya Ma Yongchao Xu Jiefeng Gan ... C. Zheng Jianming Wang Zhen Li Carola-Bibiane Schönlieb Tian Xia FedML 40 62 0 18 Nov 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 43 88 0 17 Nov 2021
FedCostWAvg: A new averaging for better Federated Learning Leon Mächler Ivan Ezhov Florian Kofler Suprosanna Shit Johannes C. Paetzold T. Loehr Benedikt Wiestler Bjoern H. Menze FedML OOD 33 13 0 16 Nov 2021
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks M. Ramezani Weilin Cong Mehrdad Mahdavi M. Kandemir A. Sivasubramaniam GNN 28 32 0 16 Nov 2021
DNN gradient lossless compression: Can GenNorm be the answer? Zhongzhu Chen Eduin E. Hernandez Yu-Chih Huang Stefano Rini 36 9 0 15 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 22 62 0 14 Nov 2021
Eluding Secure Aggregation in Federated Learning via Model Inconsistency Dario Pasquini Danilo Francati G. Ateniese FedML 28 101 0 14 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 41 414 0 11 Nov 2021
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing Peichun Li Xumin Huang Miao Pan Rong Yu 50 15 0 11 Nov 2021
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology Zhikun Chen Daofeng Li Jinkang Zhu Sihai Zhang FedML 36 8 0 10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 49 51 0 09 Nov 2021
Unified Group Fairness on Federated Learning Fengda Zhang Kun Kuang Yuxuan Liu Long Chen Chao-Xiang Wu Fei Wu Jiaxun Lu Yunfeng Shao Jun Xiao FedML 68 20 0 09 Nov 2021
Bayesian Framework for Gradient Leakage Mislav Balunović Dimitar I. Dimitrov Robin Staab Martin Vechev FedML 27 41 0 08 Nov 2021
Reconstructing Training Data from Diverse ML Models by Ensemble Inversion Qian Wang Daniel Kurz 20 9 0 05 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups A. Wainakh Ephraim Zimmer Sandeep Subedi Jens Keim Tim Grube Shankar Karuppayah Alejandro Sánchez Guinea Max Mühlhäuser 27 9 0 05 Nov 2021
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection Ali Anaissi Basem Suleiman FedML 40 1 0 04 Nov 2021
Federated Expectation Maximization with heterogeneity mitigation and variance reduction Aymeric Dieuleveut G. Fort Eric Moulines Geneviève Robin FedML 38 5 0 03 Nov 2021
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning Xun Qian Rustem Islamov M. Safaryan Peter Richtárik FedML 24 23 0 02 Nov 2021
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits Tan Li Linqi Song FedML 12 23 0 02 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling Fahao Chen Peng Li T. Miyazaki Celimuge Wu FedML 27 78 0 02 Nov 2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training Sangjoon Park Gwanghyun Kim Jeongsol Kim Boah Kim Jong Chul Ye ViT FedML MedIm 41 30 0 02 Nov 2021
Resource-Efficient Federated Learning A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 37 55 0 01 Nov 2021
FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes Manupriya Gupta Pavas Goyal Rohit Verma R. Shorey H. Saran FedML 32 4 0 01 Nov 2021