Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,850 papers shown

Title
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 54 31 0 30 May 2022
Confederated Learning: Federated Learning with Decentralized Edge Servers Bin Wang Jun Fang Hongbin Li Xiaojun Yuan Qing Ling FedML 28 23 0 30 May 2022
Federated Semi-Supervised Learning with Prototypical Networks Woojun Kim Keondo Park Kihyuk Sohn Raphael Shu Hyung-Sin Kim FedML 23 11 0 27 May 2022
Can Foundation Models Help Us Achieve Perfect Secrecy? Simran Arora Christopher Ré FedML 26 6 0 27 May 2022
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations Manaar Alam Esha Sarkar Michail Maniatakos AAML FedML 40 8 0 26 May 2022
A Fair Federated Learning Framework With Reinforcement Learning Yaqi Sun Shijing Si Jianzong Wang Yuhan Dong Z. Zhu Jing Xiao FedML 35 7 0 26 May 2022
QUIC-FL: Quick Unbiased Compression for Federated Learning Ran Ben-Basat S. Vargaftik Amit Portnoy Gil Einziger Y. Ben-Itzhak Michael Mitzenmacher FedML 72 13 0 26 May 2022
Combating Client Dropout in Federated Learning via Friend Model Substitution Heqiang Wang Jie Xu FedML 25 5 0 26 May 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System Zhitao Zhu Shijing Si Jianzong Wang Jing Xiao FedML 81 14 0 26 May 2022
Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking Zhenxiao Zhang Zhidong Gao Yuanxiong Guo Yanmin Gong FedML 23 33 0 25 May 2022
Over-the-Air Federated Learning with Energy Harvesting Devices Ozan Aygün M. Kazemi Deniz Gündüz T. Duman FedML 38 12 0 25 May 2022
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning H. Ochiai Yuwei Sun Qingzhe Jin Nattanon Wongwiwatchai Hiroshi Esaki 19 20 0 24 May 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering Ekdeep Singh Lubana Chi Ian Tang F. Kawsar Robert P. Dick Akhil Mathur FedML 40 52 0 23 May 2022
E2FL: Equal and Equitable Federated Learning Hamid Mozaffari Amir Houmansadr FedML 14 10 0 20 May 2022
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning F. Wilhelmi Elia Guerra Paolo Dini 35 6 0 20 May 2022
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing Samuel Sousa Roman Kern PILM AILaw 28 40 0 20 May 2022
FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data Mike He Zhu Léna Néhale Ezzine Dianbo Liu Yoshua Bengio OOD FedML 32 4 0 19 May 2022
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting Thomas Borger P. Mosteiro Heysem Kaya Emil Rijcken A. A. Salah Floortje E. Scheepers Marco Spruit FedML 24 23 0 17 May 2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints Mónica Ribero H. Vikalo G. Veciana FedML 24 44 0 13 May 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization Laurent Condat Kai Yi Peter Richtárik 43 21 0 09 May 2022
Deep Federated Anomaly Detection for Multivariate Time Series Data Wei Zhu Dongjin Song Yuncong Chen Wei Cheng Bo Zong Takehiko Mizoguchi C. Lumezanu Haifeng Chen Jiebo Luo FedML OOD AI4TS 32 5 0 09 May 2022
Federated Random Reshuffling with Compression and Variance Reduction Grigory Malinovsky Peter Richtárik FedML 33 10 0 08 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 24 6 0 08 May 2022
Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing Haoming Ma Xiaojun Yuan Z. Ding Dian Fan Jun Fang 29 1 0 08 May 2022
Online Model Compression for Federated Learning with Large Models Tien-Ju Yang Yonghui Xiao Giovanni Motta F. Beaufays Rajiv Mathews Mingqing Chen FedML MQ 49 8 0 06 May 2022
Network Gradient Descent Algorithm for Decentralized Federated Learning Shuyuan Wu Danyang Huang Hansheng Wang FedML 30 11 0 06 May 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 27 71 0 05 May 2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation M. Eren Luke E. Richards Manish Bhattarai Roberto Yus Charles K. Nicholas Boian S. Alexandrov FedML 18 9 0 04 May 2022
GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes Renaud Fabre Otmane Azeroual P. Bellot Joachim Schöpfel D. Egret 15 0 0 03 May 2022
Combined Learning of Neural Network Weights for Privacy in Collaborative Tasks Aline Ioste A. Durham Marcelo Finger FedML 11 0 0 30 Apr 2022
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation Heng Zhu Qing Ling FedML 33 23 0 29 Apr 2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning Jin Xu Chi Hong Jiyue Huang L. Chen Jérémie Decouchant AAML FedML 37 21 0 28 Apr 2022
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification Yixing Huang Christoph Bert Stefan Fischer Manuel Schmidt Arnd Dörfler Andreas Maier R. Fietkau F. Putz FedML CLL OOD MedIm 36 17 0 26 Apr 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks Dario Rossi Liang Zhang 36 13 0 26 Apr 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 28 9 0 26 Apr 2022
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies Shaltiel Eloul Fran Silavong Sanket Kamthe Antonios Georgiadis Sean J. Moran FedML 20 5 0 26 Apr 2022
One-shot Federated Learning without Server-side Training Shangchao Su Bin Li Xiangyang Xue FedML 10 27 0 26 Apr 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications Han Cai Ji Lin Chengyue Wu Zhijian Liu Haotian Tang Hanrui Wang Ligeng Zhu Song Han 32 108 0 25 Apr 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server Hong Zhang Ji Liu Juncheng Jia Yang Zhou H. Dai Dejing Dou FedML 15 45 0 25 Apr 2022
A Closer Look at Personalization in Federated Image Classification Changxing Jing Yan Huang Yihong Zhuang Liyan Sun Yue Huang Zhenlong Xiao Xinghao Ding 47 1 0 22 Apr 2022
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model A. Bhattacharya M. Gawali J. Seth V. Kulkarni FedML OOD 26 7 0 22 Apr 2022
Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks Abbas Yazdinejad Ali Dehghantanha R. Parizi M. Hammoudeh H. Karimipour Gautam Srivastava 6 125 0 21 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 42 133 0 18 Apr 2022
How to Attain Communication-Efficient DNN Training? Convert, Compress, Correct Zhongzhu Chen Eduin E. Hernandez Yu-Chih Huang Stefano Rini MQ 29 0 0 18 Apr 2022
FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence Zhijie Xie Shenghui Song FedML 25 45 0 18 Apr 2022
Self-Aware Personalized Federated Learning Huili Chen Jie Ding Eric W. Tramel Shuang Wu Anit Kumar Sahu Salman Avestimehr Tao Zhang FedML 30 26 0 17 Apr 2022
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning Afsaneh Mahmoudi H. S. Ghadikolaei José Hélio da Cruz Júnior Carlo Fischione 30 9 0 16 Apr 2022
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning A. Khan Yuze Li Xinran Wang Sabaat Haroon Haider Ali Yue Cheng A. R. Butt Ali Anwar 13 3 0 16 Apr 2022
Privacy-Preserving Image Classification Using Isotropic Network Maungmaung Aprilpyone Hitoshi Kiya 15 36 0 16 Apr 2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing Yong-Nam Oh Yo-Seb Jeon Mingzhe Chen Walid Saad FedML 38 11 0 16 Apr 2022