Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,853 papers shown

Title
Adaptive Compression for Communication-Efficient Distributed Training Maksim Makarenko Elnur Gasanov Rustem Islamov Abdurakhmon Sadiev Peter Richtárik 59 14 0 31 Oct 2022
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient Afsaneh Mahmoudi José Hélio da Cruz Júnior H. S. Ghadikolaei Carlo Fischione 39 7 0 31 Oct 2022
Blind Asynchronous Over-the-Air Federated Edge Learning Saeed Razavikia Jaume Anguera Peris J. M. B. D. Silva Carlo Fischione FedML 43 11 0 31 Oct 2022
FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices O. Wehbi S. Arisdakessian Omar Abdel Wahab Hadi Otrok Safa Otoum Azzam Mourad Mohsen Guizani FedML 28 11 0 31 Oct 2022
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning Yong Xiao Zijian Sun Guangming Shi Dusit Niyato 66 32 0 28 Oct 2022
Differentially Private CutMix for Split Learning with Vision Transformer Seungeun Oh Jihong Park Sihun Baek Hyelin Nam Praneeth Vepakomma Ramesh Raskar M. Bennis Seong-Lyun Kim FedML 29 17 0 28 Oct 2022
Federated Learning based Energy Demand Prediction with Clustered Aggregation Ye Lin Tun K. Thar Chu Myaet Thwal Choong Seon Hong 28 57 0 28 Oct 2022
Addressing Heterogeneity in Federated Learning via Distributional Transformation Haolin Yuan Bo Hui Yuchen Yang Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao FedML OOD 45 13 0 26 Oct 2022
Personalized Federated Learning via Heterogeneous Modular Networks Tianchun Wan Wei Cheng Dongsheng Luo Wenchao Yu Jingchao Ni Liang Tong Haifeng Chen Xiang Zhang 32 11 0 26 Oct 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering Lingxiao Huang Zhize Li Jialin Sun Haoyu Zhao FedML 51 9 0 26 Oct 2022
Provably Doubly Accelerated Federated Learning: The First Theoretically Successful Combination of Local Training and Communication Compression Laurent Condat Ivan Agarský Peter Richtárik FedML 45 17 0 24 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 90 33 0 24 Oct 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions Nika Haghtalab Michael I. Jordan Eric Zhao FedML 73 35 0 22 Oct 2022
Mixed Precision Quantization to Tackle Gradient Leakage Attacks in Federated Learning Pretom Roy Ovi Emon Dey Nirmalya Roy A. Gangopadhyay FedML 31 4 0 22 Oct 2022
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? Lirui Wang Kai Zhang Yunzhu Li Yonglong Tian Russ Tedrake 39 16 0 20 Oct 2022
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information Xiaoyu Cao Jinyuan Jia Zaixi Zhang Neil Zhenqiang Gong FedML MU AAML 37 73 0 20 Oct 2022
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis Ruinan Jin Xiaoxiao Li FedML AAML MedIm 64 23 0 19 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 64 5 0 19 Oct 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems Xizixiang Wei Cong Shen Jing Yang H. Vincent Poor 63 14 0 18 Oct 2022
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences A. Agafonov Brahim Erraji Martin Takáč FedML 49 4 0 18 Oct 2022
Towards Fair Classification against Poisoning Attacks Han Xu Xiaorui Liu Yuxuan Wan Jiliang Tang 26 2 0 18 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability Zhao Song Yitan Wang Zheng Yu Licheng Zhang FedML 43 28 0 15 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 39 22 0 14 Oct 2022
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining Wenhan Xian Feihu Huang Heng-Chiao Huang FedML 40 0 0 14 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation Y. Ben-Itzhak Helen Mollering Benny Pinkas T. Schneider Ajith Suresh Oleksandr Tkachenko S. Vargaftik Christian Weinert Hossein Yalame Avishay Yanai 43 6 0 13 Oct 2022
Mitigating Unintended Memorization in Language Models via Alternating Teaching Zhe Liu Xuedong Zhang Fuchun Peng 43 3 0 13 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 54 58 0 10 Oct 2022
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems Jiahui Chen Yi Zhao Qi Li Xuewei Feng Ke Xu AAML FedML 56 13 0 08 Oct 2022
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net Seonhyeon Kim Jiheon Woo Daewon Seo Yongjune Kim FedML 52 1 0 06 Oct 2022
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations Jialing Liao Zheng Chen Erik G. Larsson 42 12 0 05 Oct 2022
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling Zheqi Zhu Yuchen Shi Pingyi Fan Chenghui Peng Khaled B. Letaief FedML 50 8 0 05 Oct 2022
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 45 2 0 04 Oct 2022
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization Xiaochen Li Yuke Hu Weiran Liu Hanwen Feng Li Peng Yuan Hong Kui Ren Zhan Qin FedML 132 26 0 04 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 75 6 0 03 Oct 2022
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation Taha Toghani César A. Uribe FedML 52 14 0 03 Oct 2022
FLCert: Provably Secure Federated Learning against Poisoning Attacks Xiaoyu Cao Zaixi Zhang Jinyuan Jia Neil Zhenqiang Gong FedML OOD 106 59 0 02 Oct 2022
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party Lushan Song Jiaxuan Wang Zhexuan Wang Xinyu Tu Guopeng Lin Wenqiang Ruan Haoqi Wu Wei Han 27 18 0 02 Oct 2022
Sparse Random Networks for Communication-Efficient Federated Learning Berivan Isik Francesco Pase Deniz Gunduz Tsachy Weissman M. Zorzi FedML 70 52 0 30 Sep 2022
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression Kaja Gruntkowska Alexander Tyurin Peter Richtárik 73 22 0 30 Sep 2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective Ping Luo Jieren Cheng Zhenhao Liu N. Xiong Jie Wu FedML 42 1 0 28 Sep 2022
On the Stability Analysis of Open Federated Learning Systems Youbang Sun H. Fernando Tianyi Chen Shahin Shahrampour FedML 36 1 0 25 Sep 2022
A One-shot Framework for Distributed Clustered Learning in Heterogeneous Environments Aleksandar Armacki Dragana Bajović D. Jakovetić S. Kar FedML 58 5 0 22 Sep 2022
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning Jiaqi Wang R. Schuster Ilia Shumailov David Lie Nicolas Papernot FedML 38 3 0 22 Sep 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 65 4 0 19 Sep 2022
The Cost of Training Machine Learning Models over Distributed Data Sources Elia Guerra F. Wilhelmi M. Miozzo Paolo Dini FedML 35 20 0 15 Sep 2022
Federated Meta-Learning for Traffic Steering in O-RAN Hakan Erdol Xiaoyang Wang Peizheng Li Jonathan D. Thomas Robert Piechocki G. Oikonomou Rui Inacio A. Ahmad K. Briggs S. Kapoor 25 12 0 13 Sep 2022
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning Feng Wang M. C. Gursoy Senem Velipasalar 53 2 0 12 Sep 2022
Personalized Federated Learning with Communication Compression El Houcine Bergou Konstantin Burlachenko Aritra Dutta Peter Richtárik FedML 80 10 0 12 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 259 320 0 11 Sep 2022
Anomaly Detection through Unsupervised Federated Learning Mirko Nardi Lorenzo Valerio A. Passarella FedML OOD 65 11 0 09 Sep 2022