Papers citing "Advances and Open Problems in Federated Learning"

50 / 778 papers shown

Title
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
Learning to Generate Image Embeddings with User-level Differential Privacy Zheng Xu Maxwell D. Collins Yuxiao Wang Liviu Panait Sewoong Oh S. Augenstein Ting Liu Florian Schroff H. B. McMahan FedML 22 29 0 20 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 23 92 0 15 Nov 2022
Quantifying the Impact of Label Noise on Federated Learning Shuqi Ke Chao Huang Xin Liu FedML 21 7 0 15 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 32 7 0 08 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming Parvin Nazari Ahmad Mousavi Davoud Ataee Tarzanagh George Michailidis 19 4 0 08 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 30 2 0 08 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse Shenglai Zeng Zonghang Li Hongfang Yu Zhihao Zhang Long Luo Bo-wen Li Dusit Niyato 29 42 0 07 Nov 2022
Privacy-preserving Deep Learning based Record Linkage Thilina Ranbaduge Dinusha Vatsalan Ming Ding 11 10 0 03 Nov 2022
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 14 6 0 31 Oct 2022
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values Florian Van Daalen Lianne Ippel Andre Dekker Inigo Bermejo FedML 18 3 0 31 Oct 2022
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks Guanqiang Zhou Ping Xu Yue Wang Zhi Tian OOD FedML 19 4 0 29 Oct 2022
Fast-Convergent Federated Learning via Cyclic Aggregation Youngjoon Lee Sangwoo Park Joonhyuk Kang FedML 28 5 0 29 Oct 2022
GowFed -- A novel Federated Network Intrusion Detection System Aitor Belenguer J. A. Pascual J. Navaridas FedML 27 6 0 28 Oct 2022
Machine Unlearning of Federated Clusters Chao Pan Jin Sima Saurav Prakash Vishal Rana O. Milenkovic FedML MU 26 25 0 28 Oct 2022
Completely Heterogeneous Federated Learning Chang-Shu Liu Yuwen Yang Xun Cai Yue Ding Hongtao Lu FedML 20 8 0 28 Oct 2022
Federated Learning with Intermediate Representation Regularization Ye Lin Tun Chu Myaet Thwal Yu Min Park Seong-Bae Park C. Hong FedML 18 6 0 28 Oct 2022
FedAudio: A Federated Learning Benchmark for Audio Tasks Tuo Zhang Tiantian Feng Samiul Alam Sunwoo Lee Mi Zhang Shrikanth S. Narayanan Salman Avestimehr FedML 25 23 0 27 Oct 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer Hamed Hemati Damian Borth M. Vasarhelyi FedML 31 3 0 26 Oct 2022
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks Zhengjie Yang Sen Fu Wei Bao Dong Yuan Albert Y. Zomaya FedML 19 5 0 26 Oct 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 45 8 0 26 Oct 2022
Networked Signal and Information Processing Stefan Vlaski S. Kar A. H. Sayed José M. F. Moura 34 16 0 25 Oct 2022
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges Prabath Abeysekara Haipeng Dong •. A. K. Qin 14 0 0 24 Oct 2022
An Improved Algorithm for Clustered Federated Learning Harsh Vardhan A. Ghosh A. Mazumdar FedML 26 8 0 20 Oct 2022
lo-fi: distributed fine-tuning without communication Mitchell Wortsman Suchin Gururangan Shen Li Ali Farhadi Ludwig Schmidt Michael G. Rabbat Ari S. Morcos 19 24 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 35 4 0 19 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chen Yi FedML 17 13 0 19 Oct 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems Xizixiang Wei Cong Shen Jing Yang H. Vincent Poor 42 14 0 18 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability Zhao-quan Song Yitan Wang Zheng Yu Licheng Zhang FedML 23 28 0 15 Oct 2022
Federated Best Arm Identification with Heterogeneous Clients Zhirui Chen P. Karthik Vincent Y. F. Tan Yeow Meng Chee FedML 25 8 0 14 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 19 31 0 14 Oct 2022
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning Peng Ye Zhifeng Jiang Wei Wang Bo-wen Li Baochun Li AAML FedML 24 15 0 13 Oct 2022
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks A. K. Akash Sixu Li Nicolas García Trillos 24 12 0 13 Oct 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems Bart Cox L. Chen Jérémie Decouchant FedML 19 11 0 12 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 36 142 0 10 Oct 2022
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning Samuel Maddock Alexandre Sablayrolles Pierre Stock FedML 8 22 0 06 Oct 2022
Federated Boosted Decision Trees with Differential Privacy Samuel Maddock Graham Cormode Tianhao Wang Carsten Maple S. Jha FedML 19 29 0 06 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 25 7 0 06 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 21 39 0 05 Oct 2022
FedMT: Federated Learning with Mixed-type Labels Qiong Zhang Jing Peng Xin Zhang A. Talhouk Gang Niu Xiaoxiao Li FedML 42 0 0 05 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 24 6 0 03 Oct 2022
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation Taha Toghani César A. Uribe FedML 35 14 0 03 Oct 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization Y. Tian He Wang Laixin Xie Xiaojuan Ma Quan Li FedML 10 1 0 02 Oct 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Joey Tianyi Zhou DD FedML 25 28 0 29 Sep 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy Zhifeng Jiang Wei Wang Ruichuan Chen 31 6 0 26 Sep 2022
On the Stability Analysis of Open Federated Learning Systems Youbang Sun H. Fernando Tianyi Chen Shahin Shahrampour FedML 21 1 0 25 Sep 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 52 4 0 19 Sep 2022