Federated Optimization:Distributed Optimization Beyond the Datacenter

11 November 2015

Papers citing "Federated Optimization:Distributed Optimization Beyond the Datacenter"

50 / 305 papers shown

Title
Defending against the Label-flipping Attack in Federated Learning N. Jebreel J. Domingo-Ferrer David Sánchez Alberto Blanco-Justicia AAML 69 37 0 05 Jul 2022
FL-Defender: Combating Targeted Attacks in Federated Learning N. Jebreel J. Domingo-Ferrer AAML FedML 105 61 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 70 10 0 01 Jul 2022
Anchor Sampling for Federated Learning with Partial Client Participation Feijie Wu Song Guo Zhihao Qu Shiqi He Ziming Liu Jing Gao FedML 76 14 0 13 Jun 2022
Communication-Efficient Federated Learning over MIMO Multiple Access Channels Yo-Seb Jeon Mohammad Mohammadi Amiri Namyoon Lee 52 18 0 12 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 101 13 0 10 Jun 2022
Subject Granular Differential Privacy in Federated Learning Virendra J. Marathe Pallika H. Kanani Daniel W. Peterson Guy Steele Jr FedML 64 9 0 07 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 95 414 0 01 Jun 2022
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning Yunhao Yang Parham Gohari Ufuk Topcu 66 1 0 25 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 53 5 0 19 May 2022
Efficient Learning of Interpretable Classification Rules Bishwamittra Ghosh Dmitry Malioutov Kuldeep S. Meel 59 8 0 14 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
FedGiA: An Efficient Hybrid Algorithm for Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 96 17 0 03 May 2022
FedDKD: Federated Learning with Decentralized Knowledge Distillation Xinjia Li Boyu Chen Wenlian Lu FedML 57 19 0 02 May 2022
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System Mohamed Ridha Znaidi Gaurav Gupta P. Bogdan FedML 40 1 0 24 Apr 2022
Federated Learning via Inexact ADMM Shenglong Zhou Geoffrey Ye Li FedML 125 64 0 22 Apr 2022
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks Taha Toghani César A. Uribe 52 1 0 18 Apr 2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing Yong-Nam Oh Yo-Seb Jeon Mingzhe Chen Walid Saad FedML 74 12 0 16 Apr 2022
Distributed data analytics Richard Mortier Hamed Haddadi S. S. Rodríguez Liang Wang 69 2 0 26 Mar 2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations Mirian Hipolito Garcia Andre Manoel Daniel Madrigal Diaz Fatemehsadat Mireshghallah Robert Sim Dimitrios Dimitriadis FedML 92 57 0 25 Mar 2022
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization Junyuan Hong Haotao Wang Zhangyang Wang Jiayu Zhou FedML 61 57 0 18 Mar 2022
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum F. Malandrino C. Chiasserini G. di Giacomo 43 7 0 23 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 100 48 0 18 Feb 2022
Cross-Silo Heterogeneous Model Federated Multitask Learning Xingjian Cao Zonghang Li Gang Sun Hongfang Yu Mohsen Guizani FedML 74 10 0 17 Feb 2022
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks Sadegh Farhadkhani R. Guerraoui L. Hoang Oscar Villemaud FedML 69 25 0 17 Feb 2022
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning Tomoya Murata Taiji Suzuki FedML 77 3 0 12 Feb 2022
Settling the Communication Complexity for Distributed Offline Reinforcement Learning Juliusz Krysztof Ziomek Jun Wang Yaodong Yang OffRL 31 4 0 10 Feb 2022
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge Eustache Diemert Romain Fabre Alexandre Gilotte Fei Jia Basile Leparmentier Jérémie Mary Zhonghua Qu Ugo Tanielian Hui Yang 80 6 0 31 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 86 24 0 20 Jan 2022
Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost F. Malandrino C. Chiasserini FedML 34 2 0 19 Jan 2022
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection Guangyuan Shen D. Gao Libin Yang Fang Zhou Duanxiao Song Wei Lou Shirui Pan FedML 63 9 0 15 Jan 2022
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization Feijie Wu Song Guo Yining Qi Zhihao Qu Haobo Zhang Jiewei Zhang Ziming Liu 70 11 0 17 Dec 2021
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent Guanhua Ye Hongzhi Yin Tong Chen Miao Xu Quoc Viet Hung Nguyen Jiangning Song 83 9 0 17 Dec 2021
Sequence-level self-learning with multiple hypotheses K. Kumatani Dimitrios Dimitriadis Yashesh Gaur R. Gmyr Sefik Emre Eskimez Jinyu Li Michael Zeng SSL 118 1 0 10 Dec 2021
Communication-Efficient Federated Learning via Quantized Compressed Sensing Yong-Nam Oh Namyoon Lee Yo-Seb Jeon H. Vincent Poor FedML MQ 80 36 0 30 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 80 79 0 26 Nov 2021
FedCostWAvg: A new averaging for better Federated Learning Leon Mächler Ivan Ezhov Florian Kofler Suprosanna Shit Johannes C. Paetzold T. Loehr Benedikt Wiestler Bjoern Menze FedML OOD 67 13 0 16 Nov 2021
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective Margalit Glasgow Honglin Yuan Tengyu Ma FedML 79 45 0 05 Nov 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances Shibo Zhang Yaxuan Li Shen Zhang Farzad Shahabi S. Xia Yuanbei Deng N. Alshurafa BDL 89 318 0 31 Oct 2021
Communication-Efficient ADMM-based Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 121 23 0 28 Oct 2021
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models Liam H. Fowl Jonas Geiping W. Czaja Micah Goldblum Tom Goldstein FedML 130 149 0 25 Oct 2021
Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning Shuo Liu Nirupam Gupta Nitin H. Vaidya 59 0 0 21 Oct 2021
Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal Tae Jin Park K. Kumatani Dimitrios Dimitriadis 28 18 0 19 Oct 2021
Communication-Efficient Federated Learning with Binary Neural Networks YuZhi Yang Zhaoyang Zhang Qianqian Yang FedML 73 33 0 05 Oct 2021
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs Yue Niu Ramy E. Ali Salman Avestimehr FedML 98 17 0 04 Oct 2021
Federated Deep Learning with Bayesian Privacy Hanlin Gu Lixin Fan Bowen Li Jie Li Yan Kang Yuan Yao Qiang Yang FedML 165 23 0 27 Sep 2021
Federated Feature Selection for Cyber-Physical Systems of Systems P. Cassará A. Gotta Lorenzo Valerio 89 35 0 23 Sep 2021
Improved optimization strategies for deep Multi-Task Networks Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 73 6 0 21 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
Utility Fairness for the Differentially Private Federated Learning S. Alvi Yi Hong S. Durrani FedML 44 8 0 11 Sep 2021