Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

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Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

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Title
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information Emanuel Buttaci Giuseppe Carlo Calafiore FedML 36 0 0 07 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 38 0 0 07 Oct 2024
DEPT: Decoupled Embeddings for Pre-training Language Models Alex Iacob Lorenzo Sani Meghdad Kurmanji William F. Shen Xinchi Qiu Dongqi Cai Yan Gao Nicholas D. Lane VLM 235 0 0 07 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 35 0 0 04 Oct 2024
No Need to Talk: Asynchronous Mixture of Language Models Anastasiia Filippova Angelos Katharopoulos David Grangier Ronan Collobert MoE 49 0 0 04 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 42 0 0 03 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 64 0 0 03 Oct 2024
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security Qianru Zhang Peng Yang Junliang Yu Haixin Wang Xingwei He Siu-Ming Yiu Hongzhi Yin 48 2 0 03 Oct 2024
Debiasing Federated Learning with Correlated Client Participation Zhenyu Sun Ziyang Zhang Zheng Xu Gauri Joshi Pranay Sharma Ermin Wei FedML 34 0 0 02 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo Shuang Zeng Y. Wang Huijie Fan Feifei Wang Liangqiong Qu FedML 50 11 0 02 Oct 2024
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation Zezhou Wang Yaxin Du Zhuzhong Qian Yugang Jiang Zhuzhong Qian Siheng Chen FedML 227 0 0 30 Sep 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 36 0 0 29 Sep 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 35 0 0 27 Sep 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 47 2 0 26 Sep 2024
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT Jixuan Cui Jun Li Zhen Mei Yiyang Ni Wen Chen Zengxiang Li FedML 44 0 0 24 Sep 2024
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems Anastasiia Zakharova Dmitriy Alexandrov M. Khodorchenko N. Butakov Alexey Vasilev Maxim Savchenko Alexander Grigorievskiy FedML 35 0 0 23 Sep 2024
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning Minyeong Choe Cheolhee Park Changho Seo Hyunil Kim SILM AAML FedML 36 0 0 23 Sep 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping Jiaxing Li Zihan Chen Kai Fong Ernest Chong Bikramjit Das Tony Q.S. Quek Howard H. Yang 42 0 0 23 Sep 2024
FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng Xihe Qiu Jue Chen Yaochu Jin FedML 96 0 0 23 Sep 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise Kyle Rui Sang Tahseen Rabbani Furong Huang FedML 41 0 0 20 Sep 2024
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 47 10 0 20 Sep 2024
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists Dongyang Fan Bettina Messmer N. Doikov Martin Jaggi MoMe MoE 55 2 0 20 Sep 2024
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection R. Gayathri Atul Sajjanhar Md Palash Uddin Yong Xiang FedML 23 0 0 19 Sep 2024
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning Manh V. Nguyen Liang Zhao Bobin Deng William M. Severa Honghui Xu Shaoen Wu FedML 34 0 0 19 Sep 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Cuiwei Liu Siang Xu Huaijun Qiu Jing Zhang Zhi Liu Liang Zhao CLL 41 0 0 18 Sep 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Ziwei Li Xiaoqi Wang Hong-You Chen Han-Wei Shen Wei-Lun Chao FedML 36 0 0 17 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 66 7 0 17 Sep 2024
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities Zikai Zhang Suman Rath Jiaohao Xu Tingsong Xiao 53 1 0 16 Sep 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 32 0 0 16 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift Edvin Listo Zec Tom Hagander Eric Ihre-Thomason Sarunas Girdzijauskas FedML 62 0 0 16 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 50 1 0 15 Sep 2024
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights Dixi Yao 28 1 0 13 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 44 0 0 10 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai Jialin Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 81 0 0 09 Sep 2024
FedModule: A Modular Federated Learning Framework Chuyi Chen Zhe Zhang Yanchao Zhao FedML 28 0 0 07 Sep 2024
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography Pingzhi Li Tianlong Chen Junyu Liu FedML 36 1 0 06 Sep 2024
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data Jiyuan Liu Xinwang Liu Siqi Wang Xingchen Hu Qing Liao Xinhang Wan Yi Zhang Xin Lv Kunlun He FedML 51 0 0 06 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 41 0 0 05 Sep 2024
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing Aditya Karan Naina Balepur Hari Sundaram 15 0 0 04 Sep 2024
Federated Prediction-Powered Inference from Decentralized Data Ping Luo Xiaoge Deng Ziqing Wen Tao Sun Dongsheng Li FedML 35 0 0 03 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 75 2 0 03 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 49 6 0 02 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 52 7 0 02 Sep 2024
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition Chen Hu Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma FedML 79 0 0 30 Aug 2024
Decentralized Federated Learning with Model Caching on Mobile Agents Xiaoyu Wang Guojun Xiong Houwei Cao Jian Li Yong Liu FedML 41 1 0 26 Aug 2024
Sample-Independent Federated Learning Backdoor Attack in Speaker Recognition Weida Xu Yang Xu Sicong Zhang FedML AAML 44 0 0 25 Aug 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 41 0 0 21 Aug 2024
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy Jingyun Chen Martin King Yading Yuan OOD 18 0 0 17 Aug 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models Xiaochen Wang Jiaqi Wang Houping Xiao Zheyu Shen Fenglong Ma MedIm 69 7 0 17 Aug 2024
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs H. B. McMahan Zheng Xu Yanxiang Zhang FedML 58 6 0 16 Aug 2024