Papers citing "Advances and Open Problems in Federated Learning"

50 / 757 papers shown

Title
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 28 21 0 20 Feb 2023
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$ -Differential Privacy Richeng Jin Z. Su C. Zhong Zhaoyang Zhang Tony Q. S. Quek H. Dai FedML 13 2 0 19 Feb 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 27 34 0 19 Feb 2023
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning Charlie Hou Hongyuan Zhan Akshat Shrivastava Sida I. Wang S. Livshits Giulia Fanti Daniel Lazar FedML 22 15 0 17 Feb 2023
Towards Zero-trust Security for the Metaverse Ruizhi Cheng Songqing Chen Bo Han 19 28 0 17 Feb 2023
Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks Gang Hu Yinglei Teng Nan Wang F. Yu FedML 14 5 0 17 Feb 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 21 10 0 15 Feb 2023
Adaptive Parameterization of Deep Learning Models for Federated Learning Morten From Elvebakken Alexandros Iosifidis Lukas Esterle FedML 18 4 0 06 Feb 2023
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction A. Sayapin Gleb Balitskiy Daniel Bershatsky Aleksandr Katrutsa Evgeny Frolov Alexey Frolov Ivan V. Oseledets Vitaliy N. Kharin FedML 16 1 0 05 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 23 25 0 03 Feb 2023
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning Justin Kang Ramtin Pedarsani K. Ramchandran FedML 11 5 0 30 Jan 2023
Federated Learning for Water Consumption Forecasting in Smart Cities Mohammed El Hanjri Hibatallah Kabbaj A. Kobbane Amine Abouaomar 14 11 0 30 Jan 2023
Efficient Node Selection in Private Personalized Decentralized Learning Edvin Listo Zec Johan Ostman Olof Mogren D. Gillblad 16 1 0 30 Jan 2023
Distributed Stochastic Optimization under a General Variance Condition Kun-Yen Huang Xiao Li Shin-Yi Pu FedML 28 5 0 30 Jan 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 25 9 0 29 Jan 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei-Neng Chen Shuicheng Yan Min-Bin Lin FedML 22 10 0 28 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 18 8 0 26 Jan 2023
FedHQL: Federated Heterogeneous Q-Learning Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Cheston Tan Bryan Kian Hsiang Low Roger Wattenhofer FedML 11 7 0 26 Jan 2023
Gossiped and Quantized Online Multi-Kernel Learning Tomàs Ortega Hamid Jafarkhani 19 5 0 24 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID Jianfeng Weng Kun Hu Tingting Yao Jingya Wang Zhiyong Wang FedML 19 2 0 18 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 19 1 0 17 Jan 2023
Pruning Compact ConvNets for Efficient Inference Sayan Ghosh Karthik Prasad Xiaoliang Dai Peizhao Zhang Bichen Wu Graham Cormode Peter Vajda VLM 11 4 0 11 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 21 11 0 09 Jan 2023
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning Sagar Sharma Yuechun Gu Keke Chen 18 0 0 31 Dec 2022
Graph Federated Learning for CIoT Devices in Smart Home Applications Arash Rasti-Meymandi S. M. Sheikholeslami J. Abouei Konstantinos N. Plataniotis FedML 15 18 0 29 Dec 2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 20 0 0 28 Dec 2022
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Y. Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 19 59 0 27 Dec 2022
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks Y. Sagduyu FedML 14 8 0 21 Dec 2022
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang Yuanhang Yang Yong Dai Lizhen Qu Zenglin Xu FedML 16 64 0 20 Dec 2022
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends Yonghao Xu Tao Bai Weikang Yu Shizhen Chang P. M. Atkinson Pedram Ghamisi AAML 27 47 0 19 Dec 2022
Toward Data Heterogeneity of Federated Learning Yuchuan Huang Chen Hu FedML 14 1 0 17 Dec 2022
Modeling Global Distribution for Federated Learning with Label Distribution Skew Tao Sheng Cheng Shen Yuan Liu Yeyu Ou Zhe Qu Jianxin Wang FedML 14 7 0 17 Dec 2022
Federated Learning with Flexible Control Shiqiang Wang Jake B. Perazzone Mingyue Ji Kevin S. Chan FedML 20 17 0 16 Dec 2022
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 13 30 0 16 Dec 2022
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions Sundas Iftikhar S. Gill Chenghao Song Minxian Xu M. Aslanpour ... Félix Cuadrado Blesson Varghese Omer F. Rana Schahram Dustdar Steve Uhlig 34 130 0 09 Dec 2022
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 25 6 0 07 Dec 2022
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics Yun-Wei Chu Seyyedali Hosseinalipour Elizabeth Tenorio Laura Cruz K. Douglas Andrew S. Lan Christopher G. Brinton AI4Ed 17 10 0 05 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 16 18 0 04 Dec 2022
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning Shiqi He Qifan Yan Feijie Wu Lanjun Wang Mathias Lécuyer Ivan Beschastnikh FedML 24 7 0 03 Dec 2022
Novel Modelling Strategies for High-frequency Stock Trading Data Xuekui Zhang Yuying Huang Ke-Li Xu Li Xing 11 15 0 30 Nov 2022
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 28 41 0 28 Nov 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 23 29 0 27 Nov 2022
FedSysID: A Federated Approach to Sample-Efficient System Identification Han Wang Leonardo F. Toso James Anderson FedML 24 17 0 25 Nov 2022
MDA: Availability-Aware Federated Learning Client Selection Amin Eslami Abyane Steve Drew Hadi Hemmati FedML 11 5 0 25 Nov 2022
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels Soroosh Tayebi Arasteh P. Isfort Marwin Saehn Gustav Mueller-Franzes Firas Khader Jakob Nikolas Kather Christiane Kuhl S. Nebelung Daniel Truhn FedML 14 15 0 24 Nov 2022
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 16 1 0 24 Nov 2022
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 33 160 0 23 Nov 2022
Scalable Collaborative Learning via Representation Sharing Frédéric Berdoz Abhishek Singh Martin Jaggi Ramesh Raskar FedML 17 3 0 20 Nov 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 37 26 0 20 Nov 2022