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
Mechanisms that Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy Wenshuo Guo Michael I. Jordan FedML 38 45 0 10 Jul 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning Grigory Malinovsky Kai Yi Peter Richtárik FedML 50 38 0 09 Jul 2022
Federated Learning with Quantum Secure Aggregation Yichi Zhang Chao Zhang Cai Zhang Lixin Fan B. Zeng Qiang Yang FedML 18 23 0 09 Jul 2022
Smart Multi-tenant Federated Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 38 2 0 09 Jul 2022
StatMix: Data augmentation method that relies on image statistics in federated learning Dominik Lewy Jacek Mańdziuk M. Ganzha M. Paprzycki FedML 32 9 0 08 Jul 2022
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox Abdurakhmon Sadiev D. Kovalev Peter Richtárik 35 20 0 08 Jul 2022
Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis Ruinan Jin Xiaoxiao Li AAML FedML MedIm 52 12 0 02 Jul 2022
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning Sihun Baek Jihong Park Praneeth Vepakomma Ramesh Raskar M. Bennis Seong-Lyun Kim FedML 35 10 0 01 Jul 2022
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision Ryan Hoque Lawrence Yunliang Chen Satvik Sharma K. Dharmarajan Brijen Thananjeyan Pieter Abbeel Ken Goldberg 32 30 0 29 Jun 2022
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach Naifu Zhang M. Tao Jia Wang Fan Xu 19 13 0 28 Jun 2022
APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain Jun-Teng Yang Wen-Yuan Chen Che-Hua Li S. Huang Hsiao-Chun Wu 16 2 0 26 Jun 2022
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution Akash Amalan Rui Wang Yan Qiao E. Panaousis K. Liang FedML OOD 25 2 0 24 Jun 2022
Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations Jonathan Heiss Elias Grunewald Nikolas Haimerl Stefan Schulte Stefan Tai FedML 23 29 0 23 Jun 2022
A Framework for Understanding Model Extraction Attack and Defense Xun Xian Min-Fong Hong Jie Ding SILM MIACV FedML 16 2 0 23 Jun 2022
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks Amine Abouaomar Afaf Taik Abderrahime Filali Soumaya Cherkaoui 17 44 0 22 Jun 2022
FedorAS: Federated Architecture Search under system heterogeneity Łukasz Dudziak Stefanos Laskaridis Javier Fernandez-Marques FedML 46 7 0 22 Jun 2022
Multi-party Secure Broad Learning System for Privacy Preserving Xiaolin Cao Changdong Wang Jianchang Lai Qiong Huang C.L.Philip Chen 17 18 0 22 Jun 2022
FLaaS: Cross-App On-device Federated Learning in Mobile Environments Kleomenis Katevas Diego Perino N. Kourtellis FedML 17 1 0 22 Jun 2022
sqSGD: Locally Private and Communication Efficient Federated Learning Yan Feng Tao Xiong Ruofan Wu Lingjuan Lv Leilei Shi FedML 33 2 0 21 Jun 2022
Shifted Compression Framework: Generalizations and Improvements Egor Shulgin Peter Richtárik 20 6 0 21 Jun 2022
Model Joins: Enabling Analytics Over Joins of Absent Big Tables A. Shanghooshabad Peter Triantafillou 16 0 0 21 Jun 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression Zhize Li Haoyu Zhao Boyue Li Yuejie Chi FedML 37 41 0 20 Jun 2022
Communication-Efficient Federated Learning With Data and Client Heterogeneity Hossein Zakerinia Shayan Talaei Giorgi Nadiradze Dan Alistarh FedML 34 7 0 20 Jun 2022
Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities Aleksandr Beznosikov Alexander Gasnikov 32 10 0 19 Jun 2022
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning Anis Elgabli Chaouki Ben Issaid Amrit Singh Bedi K. Rajawat M. Bennis Vaneet Aggarwal FedML 21 30 0 17 Jun 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Bin Cui FedML 26 59 0 16 Jun 2022
Federated Optimization Algorithms with Random Reshuffling and Gradient Compression Abdurakhmon Sadiev Grigory Malinovsky Eduard A. Gorbunov Igor Sokolov Ahmed Khaled Konstantin Burlachenko Peter Richtárik FedML 21 21 0 14 Jun 2022
Anchor Sampling for Federated Learning with Partial Client Participation Feijie Wu Song Guo Zhihao Qu Shiqi He Ziming Liu Jing Gao FedML 38 12 0 13 Jun 2022
Communication-Efficient Federated Learning over MIMO Multiple Access Channels Yo-Seb Jeon Mohammad Mohammadi Amiri Namyoon Lee 27 18 0 12 Jun 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 40 13 0 11 Jun 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 42 12 0 10 Jun 2022
Hierarchical Federated Learning with Privacy Varun Chandrasekaran Suman Banerjee Diego Perino N. Kourtellis FedML 41 8 0 10 Jun 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond Xiao-Tong Yuan P. Li FedML 27 59 0 10 Jun 2022
Federated Momentum Contrastive Clustering Runxuan Miao Erdem Koyuncu FedML 30 13 0 10 Jun 2022
Deep Leakage from Model in Federated Learning Zihao Zhao Mengen Luo Wenbo Ding FedML 26 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 31 35 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 10 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 45 16 0 07 Jun 2022
Group privacy for personalized federated learning Filippo Galli Sayan Biswas Kangsoo Jung Tommaso Cucinotta C. Palamidessi FedML 23 12 0 07 Jun 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 46 6 0 06 Jun 2022
FedNST: Federated Noisy Student Training for Automatic Speech Recognition Haaris Mehmood A. Dobrowolska Karthikeyan P. Saravanan Mete Ozay 24 7 0 06 Jun 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning Romain Chor Abdellatif Zaidi Milad Sefidgaran FedML 42 15 0 06 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 23 7 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 43 69 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 46 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 11 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 36 6 0 03 Jun 2022
Federated Learning with a Sampling Algorithm under Isoperimetry Lukang Sun Adil Salim Peter Richtárik FedML 28 7 0 02 Jun 2022
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons FedML 32 47 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 24 0 0 01 Jun 2022