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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
Federated Momentum Contrastive Clustering Runxuan Miao Erdem Koyuncu FedML 72 14 0 10 Jun 2022
Deep Leakage from Model in Federated Learning Zihao Zhao Mengen Luo Wenbo Ding FedML 61 14 0 10 Jun 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems Armin Danesh Pazho Ghazal Alinezhad Noghre Arnab A. Purkayastha Jagannadh Vempati Otto Martin Hamed Tabkhi GNN 108 39 0 08 Jun 2022
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation Qian Chen Zilong Wang Jiawei Chen Haonan Yan Xiaodong Lin FedML 53 17 0 08 Jun 2022
Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation Rustem Islamov Xun Qian Slavomír Hanzely M. Safaryan Peter Richtárik 79 16 0 07 Jun 2022
Group privacy for personalized federated learning Filippo Galli Sayan Biswas Kangsoo Jung Tommaso Cucinotta C. Palamidessi FedML 77 12 0 07 Jun 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 94 7 0 06 Jun 2022
FedNST: Federated Noisy Student Training for Automatic Speech Recognition Haaris Mehmood A. Dobrowolska Karthikeyan P. Saravanan Mete Ozay 131 7 0 06 Jun 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning Romain Chor Abdellatif Zaidi Milad Sefidgaran FedML 87 15 0 06 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 97 9 0 06 Jun 2022
Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks Zhibin Wang Yong Zhou Yuanming Shi W. Zhuang 89 72 0 06 Jun 2022
Pretrained Models for Multilingual Federated Learning Orion Weller Marc Marone Vladimir Braverman Dawn J Lawrie Benjamin Van Durme VLM FedML AI4CE 94 42 0 06 Jun 2022
Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling Alexander Tyurin Lukang Sun Konstantin Burlachenko Peter Richtárik 59 8 0 05 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 92 6 0 03 Jun 2022
Federated Learning with a Sampling Algorithm under Isoperimetry Lukang Sun Adil Salim Peter Richtárik FedML 95 7 0 02 Jun 2022
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons FedML 108 50 0 01 Jun 2022
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top Eduard A. Gorbunov Samuel Horváth Peter Richtárik Gauthier Gidel AAML 63 0 0 01 Jun 2022
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 112 32 0 30 May 2022
Confederated Learning: Federated Learning with Decentralized Edge Servers Bin Wang Jun Fang Hongbin Li Xiaojun Yuan Qing Ling FedML 62 24 0 30 May 2022
Federated Semi-Supervised Learning with Prototypical Networks Woojun Kim Keondo Park Kihyuk Sohn Raphael Shu Hyung-Sin Kim FedML 85 12 0 27 May 2022
Can Foundation Models Help Us Achieve Perfect Secrecy? Simran Arora Christopher Ré FedML 92 8 0 27 May 2022
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations Manaar Alam Esha Sarkar Michail Maniatakos AAML FedML 132 9 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 126 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 144 13 0 26 May 2022
Combating Client Dropout in Federated Learning via Friend Model Substitution Heqiang Wang Jie Xu FedML 72 6 0 26 May 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System Zhitao Zhu Shijing Si Jianzong Wang Jing Xiao FedML 115 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 65 37 0 25 May 2022
Over-the-Air Federated Learning with Energy Harvesting Devices Ozan Aygün M. Kazemi Deniz Gündüz T. Duman FedML 71 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 73 23 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 79 54 0 23 May 2022
E2FL: Equal and Equitable Federated Learning Hamid Mozaffari Amir Houmansadr FedML 95 10 0 20 May 2022
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning F. Wilhelmi Elia Guerra Paolo Dini 69 7 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 84 46 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 60 5 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 140 23 0 17 May 2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints Mónica Ribero H. Vikalo G. Veciana FedML 78 46 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 111 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 41 5 0 09 May 2022
Federated Random Reshuffling with Compression and Variance Reduction Grigory Malinovsky Peter Richtárik FedML 111 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 71 7 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 83 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 90 8 0 06 May 2022
Network Gradient Descent Algorithm for Decentralized Federated Learning Shuyuan Wu Danyang Huang Hansheng Wang FedML 81 11 0 06 May 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 94 75 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 75 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 80 1 0 03 May 2022
Combined Learning of Neural Network Weights for Privacy in Collaborative Tasks Aline Ioste A. Durham Marcelo Finger FedML 48 0 0 30 Apr 2022
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation Heng Zhu Qing Ling FedML 80 24 0 29 Apr 2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning Jin Xu Chi Hong Jiyue Huang L. Chen Jérémie Decouchant AAML FedML 86 26 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 81 17 0 26 Apr 2022