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
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach Junshan Zhang Na Li M. Dedeoglu FedML 31 41 0 16 Feb 2021
MARINA: Faster Non-Convex Distributed Learning with Compression Eduard A. Gorbunov Konstantin Burlachenko Zhize Li Peter Richtárik 39 109 0 15 Feb 2021
On the Impact of Device and Behavioral Heterogeneity in Federated Learning A. Abdelmoniem Chen-Yu Ho Pantelis Papageorgiou Muhammad Bilal Marco Canini FedML 24 18 0 15 Feb 2021
Task-oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications Arsham Mostaani T. Vu Shree Krishna Sharma Van-Dinh Nguyen Qi Liao Symeon Chatzinotas 27 16 0 14 Feb 2021
Proximal and Federated Random Reshuffling Konstantin Mishchenko Ahmed Khaled Peter Richtárik FedML 29 31 0 12 Feb 2021
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients Xingyu Li Zhe Qu Bo Tang Zhuo Lu FedML 73 31 0 12 Feb 2021
Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data Kai-Fung Chu Lintao Zhang FedML 21 8 0 11 Feb 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 73 57 0 09 Feb 2021
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data Tao R. Lin Sai Praneeth Karimireddy Sebastian U. Stich Martin Jaggi FedML 28 101 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 34 48 0 09 Feb 2021
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach Yikai Zhang Hui Qu Qi Chang Huidong Liu Dimitris N. Metaxas Chao Chen FedML 27 12 0 09 Feb 2021
Federated Acoustic Modeling For Automatic Speech Recognition Xiaodong Cui Songtao Lu Brian Kingsbury 24 33 0 08 Feb 2021
Coordinating Momenta for Cross-silo Federated Learning An Xu Heng-Chiao Huang FedML 15 19 0 08 Feb 2021
Network Support for High-performance Distributed Machine Learning F. Malandrino C. Chiasserini Nuria Molner Antonio de la Oliva 58 10 0 05 Feb 2021
Randomized Controlled Trials without Data Retention Winston Chou 15 1 0 05 Feb 2021
DEAL: Decremental Energy-Aware Learning in a Federated System Wenting Zou Li Li Zichen Xu Chengzhong Xu FedML 12 0 0 05 Feb 2021
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings Dimitris Stripelis J. Ambite FedML 21 38 0 04 Feb 2021
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation ZhuoSheng Zhang Jiarui Li Shucheng Yu C. Makaya FedML 30 21 0 04 Feb 2021
Provably Secure Federated Learning against Malicious Clients Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong FedML 21 134 0 03 Feb 2021
FedProf: Selective Federated Learning with Representation Profiling Wentai Wu Ligang He Weiwei Lin Carsten Maple FedML 44 1 0 02 Feb 2021
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning Amirhossein Malekijoo Mohammad Javad Fadaeieslam Hanieh Malekijou Morteza Homayounfar F. Alizadeh-Shabdiz Reza Rawassizadeh FedML 34 54 0 02 Feb 2021
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li 28 103 0 02 Feb 2021
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning Wenzhuo Yang Yipeng Zhou Maio Hu Di Wu J. Zheng Hui Wang Song Guo FedML 19 11 0 31 Jan 2021
Differential Privacy Meets Federated Learning under Communication Constraints Nima Mohammadi Jianan Bai Q. Fan Yifei Song Yuhao Yi Lingjia Liu FedML 17 28 0 28 Jan 2021
Federated Multi-Armed Bandits Chengshuai Shi Cong Shen FedML 73 92 0 28 Jan 2021
FedH2L: Federated Learning with Model and Statistical Heterogeneity Yiying Li Wei Zhou Huaimin Wang Haibo Mi Timothy M. Hospedales FedML 68 29 0 27 Jan 2021
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems A. Abdelmoniem Ahmed Elzanaty Mohamed-Slim Alouini Marco Canini 63 75 0 26 Jan 2021
Adaptive Scheduling for Machine Learning Tasks over Networks Konstantinos Gatsis 27 3 0 25 Jan 2021
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation Ranwa Al Mallah David López Godwin Badu-Marfo Bilal Farooq AAML 46 39 0 24 Jan 2021
Vertical federated learning based on DFP and BFGS Wenjie Song Xuan Shen FedML 26 6 0 23 Jan 2021
Time-Correlated Sparsification for Communication-Efficient Federated Learning Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 43 47 0 21 Jan 2021
Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning Naifu Zhang M. Tao Jia Wang FedML 22 4 0 21 Jan 2021
FedNS: Improving Federated Learning for collaborative image classification on mobile clients Yaoxin Zhuo Baoxin Li FedML 21 14 0 20 Jan 2021
The Next Decade of Telecommunications Artificial Intelligence Ouyang Ye Lilei Wang Aidong Yang Le Su David Belanger Tongqing Gao Leping Wei Yaqin Zhang 29 17 0 19 Jan 2021
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments Sharare Zehtabian Siavash Khodadadeh Ladislau Bölöni D. Turgut 33 28 0 17 Jan 2021
Adversarial Attacks On Multi-Agent Communication James Tu Tsun-Hsuan Wang Jingkang Wang S. Manivasagam Mengye Ren R. Urtasun AAML 88 59 0 17 Jan 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 27 28 0 14 Jan 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 61 212 0 14 Jan 2021
$C^3DRec$ : Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era Jialiang Han Yun Ma 22 0 0 13 Jan 2021
Personalized Federated Deep Learning for Pain Estimation From Face Images Ognjen Rudovic Nicolas Tobis Sebastian Kaltwang Björn Schuller Daniel Rueckert Jeffrey F. Cohn Rosalind W. Picard CVBM FedML 25 24 0 12 Jan 2021
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 65 99 0 11 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 58 43 0 10 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 54 112 0 08 Jan 2021
Architectural Patterns for the Design of Federated Learning Systems Sin Kit Lo Qinghua Lu Liming Zhu Hye-Young Paik Xiwei Xu Chen Wang FedML AI4CE 23 64 0 07 Jan 2021
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples Xizixiang Wei Cong Shen FedML 38 15 0 06 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey S. Priya Praveen Kumar Viet Quoc Pham K. Dev Reddy Maddikunta Thippa Reddy Thien Huynh-The AI4CE 33 195 0 04 Jan 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 85 110 0 04 Jan 2021
Federated Nonconvex Sparse Learning Qianqian Tong Guannan Liang Tan Zhu J. Bi FedML 32 14 0 31 Dec 2020
Timely Communication in Federated Learning Baturalp Buyukates S. Ulukus FedML 49 39 0 31 Dec 2020
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 47 22 0 31 Dec 2020