Title
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message PassingIEEE Transactions on Signal Processing (IEEE TSP), 2024 Wei Xu An Liu Yiting Zhang Vincent Lau BDL 177 5 0 12 Feb 2024
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Teresa Salazar Joao Gama Helder Araújo Pedro Abreu FaML FedML 282 6 0 12 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated LearningInternational Conference on Learning Representations (ICLR), 2024 Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 256 21 0 10 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated LearningKnowledge Discovery and Data Mining (KDD), 2024 Rui Ye Wenhao Wang Jingyi Chai Dihan Li Zexi Li Yinda Xu Yaxin Du Yanfeng Wang Siheng Chen ALM FedML AIFin 242 145 0 10 Feb 2024
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models Zhenqing Ling Daoyuan Chen Liuyi Yao Yaliang Li Ying Shen FedML 265 23 0 08 Feb 2024
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 375 3 0 07 Feb 2024
Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks Md Ferdous Pervej A. Molisch 231 10 0 06 Feb 2024
Expediting In-Network Federated Learning by Voting-Based Consensus Model CompressionIEEE Conference on Computer Communications (INFOCOM), 2024 Xiaoxin Su Yipeng Zhou Laizhong Cui Song Guo FedML 125 4 0 06 Feb 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 274 9 0 06 Feb 2024
Fairness and Privacy Guarantees in Federated Contextual BanditsAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Sambhav Solanki Shweta Jain Sujit Gujar FedML 197 1 0 05 Feb 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine WorkersInternational Conference on Machine Learning (ICML), 2024 Ron Dorfman Naseem Yehya Kfir Y. Levy 257 5 0 05 Feb 2024
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures Lixu Wang Yang Zhao Jiahua Dong Ating Yin Qinbin Li Tianlin Li Dusit Niyato Qi Zhu FedML 237 4 0 03 Feb 2024
$L_q$ Lower Bounds on Distributed Estimation via Fisher Information Wei-Ning Chen Ayfer Özgür 154 1 0 02 Feb 2024
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning Liping Yi Han Yu Chao Ren Heng-Ming Zhang Gang Wang Xiaoguang Liu Xiaoxiao Li MoE 405 15 0 02 Feb 2024
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding Chanho Park Namyoon Lee FedML AAML 184 4 0 02 Feb 2024
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 184 11 0 02 Feb 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures Yonghao Yu Shunan Zhu Jinglu Hu AAML FedML 226 2 0 31 Jan 2024
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks Lulu Xue Shengshan Hu Rui-Qing Zhao Leo Yu Zhang Shengqing Hu Lichao Sun Dezhong Yao AAML 189 7 0 30 Jan 2024
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection Liangqi Yuan Dong-Jun Han Su Wang Devesh Upadhyay Christopher G. Brinton 181 18 0 30 Jan 2024
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 431 25 0 29 Jan 2024
Decentralized Federated Learning: A Survey on Security and PrivacyIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024 Ehsan Hallaji R. Razavi-Far R. Razavi-Far Boyu Wang Qiang Yang FedML 248 85 0 25 Jan 2024
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing ModalityInformation Fusion (Inf. Fusion), 2024 Huy Q. Le Chu Myaet Thwal Yu Qiao Ye Lin Tun Minh N. H. Nguyen Choong Seon Hong Choong Seon Hong 232 15 0 25 Jan 2024
How to Forget Clients in Federated Online Learning to Rank?European Conference on Information Retrieval (ECIR), 2024 Shuyi Wang Bing Liu Guido Zuccon 179 10 0 24 Jan 2024
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated LearningIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Yuchang Sun Marios Kountouris Jun Zhang FedML 252 3 0 24 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 309 4 0 23 Jan 2024
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy ClientsAAAI Conference on Artificial Intelligence (AAAI), 2024 Mengdi Wang Anna Bodonhelyi Efe Bozkir Enkelejda Kasneci FedML 243 6 0 22 Jan 2024
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey Zhenyu Wu Fengmao Lv Chenglizhao Chen Aimin Hao Shuo Li ELM 213 20 0 22 Jan 2024
Communication Efficient and Provable Federated UnlearningProceedings of the VLDB Endowment (PVLDB), 2024 Youming Tao Cheng-Long Wang Miao Pan Dongxiao Yu Xiuzhen Cheng Di Wang FedML MU 178 26 0 19 Jan 2024
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Deniz Gündüz Z. Niu FedML 150 19 0 18 Jan 2024
A GAN-based data poisoning framework against anomaly detection in vertical federated learning Xiaolin Chen Daoguang Zan Wei Li Bei Guan Yongji Wang FedML AAML 111 6 0 17 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed DataInternational Conference on Learning Representations (ICLR), 2024 Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Qiufeng Wang Howard H. Yang Zuo-Qiang Liu FedML 254 12 0 17 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie Yang Siheng Chen FedML 178 2 0 16 Jan 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024 Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 311 14 0 16 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 331 9 0 16 Jan 2024
Optimal Data Splitting in Distributed Optimization for Machine LearningDoklady. Mathematics (Dokl. Math.), 2023 Daniil Medyakov Gleb Molodtsov Aleksandr Beznosikov Alexander Gasnikov 234 4 0 15 Jan 2024
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting Shuyao Zhang Jordan Tay Pedro Baiz FedML 142 6 0 14 Jan 2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth FedML DiffM MedIm 135 11 0 11 Jan 2024
Correlated Quantization for Faster Nonconvex Distributed OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2024 Andrei Panferov Yury Demidovich Ahmad Rammal Peter Richtárik MQ 245 4 0 10 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction Shayan Mohajer Hamidi En-Hui Yang FedML 187 15 0 10 Jan 2024
Logits Poisoning Attack in Federated DistillationKnowledge Science, Engineering and Management (KSEM), 2024 Yuhan Tang Zhiyuan Wu Bo Gao Tian Wen Yuwei Wang Sheng Sun FedML AAML 229 3 0 08 Jan 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 166 3 0 07 Jan 2024
Privacy-Preserving in Blockchain-based Federated Learning Systems Sameera K.M. S. Nicolazzo Marco Arazzi Antonino Nocera Rafidha Rehiman K.A. V. P. Mauro Conti 159 56 0 07 Jan 2024
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence Philip Jordan Florian Grötschla Flint Xiaofeng Fan Roger Wattenhofer FedML 161 5 0 07 Jan 2024
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks Tahseen Rabbani Jiahao Su Xiaoyu Liu David Chan Geoffrey Sangston Furong Huang 191 1 0 07 Jan 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang Yang Liu Yang Hua Jian Cao FedML 295 94 0 06 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 107 1 0 06 Jan 2024
Energy-efficient Decentralized Learning via Graph Sparsification Xusheng Zhang Cho-Chun Chiu Ting He 281 2 0 05 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 284 6 0 05 Jan 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning Yuxin Shi Han Yu FedML 270 3 0 05 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Kuangpu Guo Yuhe Ding Jian Liang Ran He Zilei Wang Tieniu Tan FedML 247 3 0 04 Jan 2024

v1v2v3 (latest)

Advances and Open Problems in Federated Learning

10 December 2019

Rafael G. L. DÓliveira

Lie He

Yang Liu

Papers citing "Advances and Open Problems in Federated Learning"

50 / 2,954 papers shown

Title
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message PassingIEEE Transactions on Signal Processing (IEEE TSP), 2024 Wei Xu An Liu Yiting Zhang Vincent Lau BDL 177 5 0 12 Feb 2024
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Teresa Salazar Joao Gama Helder Araújo Pedro Abreu FaML FedML 282 6 0 12 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated LearningInternational Conference on Learning Representations (ICLR), 2024 Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 256 21 0 10 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated LearningKnowledge Discovery and Data Mining (KDD), 2024 Rui Ye Wenhao Wang Jingyi Chai Dihan Li Zexi Li Yinda Xu Yaxin Du Yanfeng Wang Siheng Chen ALM FedML AIFin 242 145 0 10 Feb 2024
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models Zhenqing Ling Daoyuan Chen Liuyi Yao Yaliang Li Ying Shen FedML 265 23 0 08 Feb 2024
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 375 3 0 07 Feb 2024
Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks Md Ferdous Pervej A. Molisch 231 10 0 06 Feb 2024
Expediting In-Network Federated Learning by Voting-Based Consensus Model CompressionIEEE Conference on Computer Communications (INFOCOM), 2024 Xiaoxin Su Yipeng Zhou Laizhong Cui Song Guo FedML 125 4 0 06 Feb 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 274 9 0 06 Feb 2024
Fairness and Privacy Guarantees in Federated Contextual BanditsAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Sambhav Solanki Shweta Jain Sujit Gujar FedML 197 1 0 05 Feb 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine WorkersInternational Conference on Machine Learning (ICML), 2024 Ron Dorfman Naseem Yehya Kfir Y. Levy 257 5 0 05 Feb 2024
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures Lixu Wang Yang Zhao Jiahua Dong Ating Yin Qinbin Li Tianlin Li Dusit Niyato Qi Zhu FedML 237 4 0 03 Feb 2024
$L_q$ Lower Bounds on Distributed Estimation via Fisher Information Wei-Ning Chen Ayfer Özgür 154 1 0 02 Feb 2024
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning Liping Yi Han Yu Chao Ren Heng-Ming Zhang Gang Wang Xiaoguang Liu Xiaoxiao Li MoE 405 15 0 02 Feb 2024
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding Chanho Park Namyoon Lee FedML AAML 184 4 0 02 Feb 2024
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 184 11 0 02 Feb 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures Yonghao Yu Shunan Zhu Jinglu Hu AAML FedML 226 2 0 31 Jan 2024
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks Lulu Xue Shengshan Hu Rui-Qing Zhao Leo Yu Zhang Shengqing Hu Lichao Sun Dezhong Yao AAML 189 7 0 30 Jan 2024
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection Liangqi Yuan Dong-Jun Han Su Wang Devesh Upadhyay Christopher G. Brinton 181 18 0 30 Jan 2024
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 431 25 0 29 Jan 2024
Decentralized Federated Learning: A Survey on Security and PrivacyIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024 Ehsan Hallaji R. Razavi-Far R. Razavi-Far Boyu Wang Qiang Yang FedML 248 85 0 25 Jan 2024
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing ModalityInformation Fusion (Inf. Fusion), 2024 Huy Q. Le Chu Myaet Thwal Yu Qiao Ye Lin Tun Minh N. H. Nguyen Choong Seon Hong Choong Seon Hong 232 15 0 25 Jan 2024
How to Forget Clients in Federated Online Learning to Rank?European Conference on Information Retrieval (ECIR), 2024 Shuyi Wang Bing Liu Guido Zuccon 179 10 0 24 Jan 2024
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated LearningIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Yuchang Sun Marios Kountouris Jun Zhang FedML 252 3 0 24 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 309 4 0 23 Jan 2024
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy ClientsAAAI Conference on Artificial Intelligence (AAAI), 2024 Mengdi Wang Anna Bodonhelyi Efe Bozkir Enkelejda Kasneci FedML 243 6 0 22 Jan 2024
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey Zhenyu Wu Fengmao Lv Chenglizhao Chen Aimin Hao Shuo Li ELM 213 20 0 22 Jan 2024
Communication Efficient and Provable Federated UnlearningProceedings of the VLDB Endowment (PVLDB), 2024 Youming Tao Cheng-Long Wang Miao Pan Dongxiao Yu Xiuzhen Cheng Di Wang FedML MU 178 26 0 19 Jan 2024
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Deniz Gündüz Z. Niu FedML 150 19 0 18 Jan 2024
A GAN-based data poisoning framework against anomaly detection in vertical federated learning Xiaolin Chen Daoguang Zan Wei Li Bei Guan Yongji Wang FedML AAML 111 6 0 17 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed DataInternational Conference on Learning Representations (ICLR), 2024 Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Qiufeng Wang Howard H. Yang Zuo-Qiang Liu FedML 254 12 0 17 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie Yang Siheng Chen FedML 178 2 0 16 Jan 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024 Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 311 14 0 16 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 331 9 0 16 Jan 2024
Optimal Data Splitting in Distributed Optimization for Machine LearningDoklady. Mathematics (Dokl. Math.), 2023 Daniil Medyakov Gleb Molodtsov Aleksandr Beznosikov Alexander Gasnikov 234 4 0 15 Jan 2024
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting Shuyao Zhang Jordan Tay Pedro Baiz FedML 142 6 0 14 Jan 2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth FedML DiffM MedIm 135 11 0 11 Jan 2024
Correlated Quantization for Faster Nonconvex Distributed OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2024 Andrei Panferov Yury Demidovich Ahmad Rammal Peter Richtárik MQ 245 4 0 10 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction Shayan Mohajer Hamidi En-Hui Yang FedML 187 15 0 10 Jan 2024
Logits Poisoning Attack in Federated DistillationKnowledge Science, Engineering and Management (KSEM), 2024 Yuhan Tang Zhiyuan Wu Bo Gao Tian Wen Yuwei Wang Sheng Sun FedML AAML 229 3 0 08 Jan 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 166 3 0 07 Jan 2024
Privacy-Preserving in Blockchain-based Federated Learning Systems Sameera K.M. S. Nicolazzo Marco Arazzi Antonino Nocera Rafidha Rehiman K.A. V. P. Mauro Conti 159 56 0 07 Jan 2024
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence Philip Jordan Florian Grötschla Flint Xiaofeng Fan Roger Wattenhofer FedML 161 5 0 07 Jan 2024
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks Tahseen Rabbani Jiahao Su Xiaoyu Liu David Chan Geoffrey Sangston Furong Huang 191 1 0 07 Jan 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang Yang Liu Yang Hua Jian Cao FedML 295 94 0 06 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 107 1 0 06 Jan 2024
Energy-efficient Decentralized Learning via Graph Sparsification Xusheng Zhang Cho-Chun Chiu Ting He 281 2 0 05 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 284 6 0 05 Jan 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning Yuxin Shi Han Yu FedML 270 3 0 05 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Kuangpu Guo Yuhe Ding Jian Liang Ran He Zilei Wang Tieniu Tan FedML 247 3 0 04 Jan 2024