Federated Learning Based on Dynamic Regularization

8 November 2021

Papers citing "Federated Learning Based on Dynamic Regularization"

50 / 139 papers shown

Title
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Xinyu Zhang Weiyu Sun Ying-Cong Chen FedML 36 5 0 13 Sep 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 38 75 0 21 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 42 8 0 20 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 28 20 0 09 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 29 3 0 07 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics Alberto Archetti F. Ieva Matteo Matteucci FedML 25 10 0 04 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 24 17 0 30 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning Chia-Hsiang Kao Yu-Chiang Frank Wang FedML 26 1 0 19 Jul 2023
FedYolo: Augmenting Federated Learning with Pretrained Transformers Xuechen Zhang Mingchen Li Xiangyu Chang Jiasi Chen A. Roy-Chowdhury A. Suresh Samet Oymak FedML 31 7 0 10 Jul 2023
An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning Cheng Yang Xue Yang Dongxian Wu Xiaohu Tang FedML 27 0 0 21 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Structured Cooperative Learning with Graphical Model Priors Shuang-Yang Li Dinesh Manocha Xinmei Tian Dacheng Tao 38 0 0 16 Jun 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 29 10 0 04 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 31 0 0 02 Jun 2023
FACT: Federated Adversarial Cross Training Stefan Schrod Jonas Lippl Andreas Schäfer Michael Altenbuchinger FedML HILM 19 3 0 01 Jun 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Yuchao Gu Xintao Wang Jay Zhangjie Wu Yujun Shi Yunpeng Chen ... Shuning Chang Wei Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 52 167 0 29 May 2023
Collaborative Learning via Prediction Consensus Dongyang Fan Celestine Mendler-Dünner Martin Jaggi FedML 29 7 0 29 May 2023
Federated Generalized Category Discovery Nan Pu Zhun Zhong Xinyuan Ji N. Sebe FedML 30 13 0 23 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 37 33 0 19 May 2023
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination Ming Hu Zhihao Yue Zhiwei Ling Cheng Chen Yihao Huang Xian Wei Xiang Lian Yang Liu Mingsong Chen FedML 23 8 0 18 May 2023
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime Jongho Park Jinchao Xu FedML 60 1 0 17 May 2023
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling Nicolò Dal Fabbro A. Mitra George J. Pappas FedML 35 12 0 14 May 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 48 0 0 28 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 28 1 0 27 Mar 2023
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 34 3 0 27 Mar 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 51 54 0 17 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training Zhenheng Tang Xiaowen Chu Ryan Yide Ran Sunwoo Lee S. Shi Yonggang Zhang Yuxin Wang Alex Liang A. Avestimehr Chaoyang He FedML 23 10 0 03 Mar 2023
Stochastic Clustered Federated Learning Dun Zeng Xiangjing Hu Shiyu Liu Yue Yu Qifan Wang Zenglin Xu FedML 28 13 0 02 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization Nang Hung Nguyen Duc Long Nguyen Trong Bang Nguyen T. Nguyen H. Pham Truong Thao Nguyen Phi Le Nguyen FedML 26 8 0 21 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie De-An Huang Wen-Hsuan Chu Daguang Xu Chaowei Xiao Bo-wen Li Anima Anandkumar FedML 26 10 0 13 Feb 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 44 29 0 30 Jan 2023
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning Wenkai Yang Deli Chen Hao Zhou Fandong Meng Jie Zhou Xu Sun FedML 43 5 0 25 Jan 2023
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 26 31 0 16 Dec 2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation Ziqing Fan Yanfeng Wang Jiangchao Yao Lingjuan Lyu Ya Zhang Qinghua Tian FedML 21 20 0 14 Dec 2022
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 41 6 0 07 Dec 2022
On the effectiveness of partial variance reduction in federated learning with heterogeneous data Bo-wen Li Mikkel N. Schmidt T. S. Alstrøm Sebastian U. Stich FedML 37 9 0 05 Dec 2022
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework Shuai Wang Yanqing Xu Zihan Wang Tsung-Hui Chang Tony Q.S. Quek Defeng Sun FedML 35 9 0 03 Dec 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 39 26 0 20 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 29 18 0 31 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 27 31 0 14 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 40 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 29 39 0 05 Oct 2022
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning Haibo Yang Pei-Yuan Qiu Jia Liu FedML 32 12 0 03 Oct 2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data Minh-Duong Nguyen Viet Quoc Pham D. Hoang Long Tran-Thanh Diep N. Nguyen W. Hwang 24 2 0 29 Sep 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy Zhifeng Jiang Wei Wang Ruichuan Chen 43 7 0 26 Sep 2022
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization Junjiao Tian James Smith Z. Kira 19 3 0 21 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Bo-wen Li Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 21 140 0 01 Sep 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022