Papers citing "A Field Guide to Federated Optimization"

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Title
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 288 4 0 19 Apr 2024
pfl-research: simulation framework for accelerating research in Private Federated LearningNeural Information Processing Systems (NeurIPS), 2024 Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 128 11 0 09 Apr 2024
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications Shanshan Wu Zheng Xu Yanxiang Zhang Yuanbo Zhang Daniel Ramage SyDa 174 14 0 05 Apr 2024
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models Kai Yi Georg Meinhardt Laurent Condat Peter Richtárik FedML 251 6 0 14 Mar 2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression Laurent Condat Artavazd Maranjyan Peter Richtárik 291 6 0 07 Mar 2024
Cloud-based Federated Learning Framework for MRI Segmentation Rukesh Prajapati Amr S. El-Wakeel FedML 121 1 0 01 Mar 2024
Training Neural Networks from Scratch with Parallel Low-Rank Adapters Minyoung Huh Brian Cheung Jeremy Bernstein Phillip Isola Pulkit Agrawal 188 14 0 26 Feb 2024
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 157 3 0 22 Feb 2024
Momentum Approximation in Asynchronous Private Federated Learning Tao Yu Congzheng Song Jianyu Wang Mona Chitnis FedML 191 1 0 14 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 206 132 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 233 20 0 08 Feb 2024
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 315 3 0 07 Feb 2024
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 152 11 0 02 Feb 2024
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q.S. Quek Kai Fong Ernest Chong OOD FedML 144 21 0 29 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 231 4 0 22 Jan 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Yae Jee Cho Luyang Liu Zheng Xu Aldi Fahrezi Gauri Joshi 202 95 0 12 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction Shayan Mohajer Hamidi En-Hui Yang FedML 171 15 0 10 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 216 3 0 05 Jan 2024
IoT in the Era of Generative AI: Vision and ChallengesIEEE Internet Computing (IEEE Internet Comput.), 2024 Xin Wang Zhongwei Wan Arvin Hekmati M. Zong Samiul Alam Mi Zhang Bhaskar Krishnamachari 153 18 0 03 Jan 2024
FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning Ho Man Kwan Shenghui Song FedML 107 4 0 28 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 121 8 0 10 Dec 2023
Federated Learning Empowered by Generative Content Rui Ye Xinyu Zhu Jingyi Chai Siheng Chen Yanfeng Wang FedML 138 3 0 10 Dec 2023
Multi-dimensional Fair Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 174 6 0 09 Dec 2023
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity Lorenzo Valerio Chiara Boldrini A. Passarella János Kertész Márton Karsai Gerardo Iniguez FedML 109 5 0 07 Dec 2023
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum Riccardo Zaccone Sai Praneeth Karimireddy Carlo Masone Marco Ciccone FedML 305 2 0 30 Nov 2023
Leveraging Function Space Aggregation for Federated Learning at Scale Nikita Dhawan Nicole Mitchell Zachary B. Charles Zachary Garrett Gintare Karolina Dziugaite FedML 178 4 0 17 Nov 2023
Transformers can optimally learn regression mixture modelsInternational Conference on Learning Representations (ICLR), 2023 Reese Pathak Rajat Sen Weihao Kong Abhimanyu Das 123 14 0 14 Nov 2023
Federated Learning with Manifold Regularization and Normalized Update ReaggregationNeural Information Processing Systems (NeurIPS), 2023 Xuming An Li Shen Han Hu Yong Luo FedML 140 7 0 10 Nov 2023
Correlation Aware Sparsified Mean Estimation Using Random ProjectionNeural Information Processing Systems (NeurIPS), 2023 Shuli Jiang Pranay Sharma Gauri Joshi 224 2 0 29 Oct 2023
Adaptive Test-Time Personalization for Federated LearningNeural Information Processing Systems (NeurIPS), 2023 Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He TTA OOD 152 28 0 28 Oct 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei Chen Khaled B. Letaief FedML 312 20 0 16 Oct 2023
Federated Multi-Objective Learning Haibo Yang Zhuqing Liu Jia-Wei Liu Chaosheng Dong Michinari Momma FedML 144 16 0 15 Oct 2023
FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy Ziru Niu Senior Member Ieee Hai Dong •. A. K. Qin Senior Member Ieee Tao Gu 173 15 0 15 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning Liam Collins Shanshan Wu Sewoong Oh K. Sim FedML 176 11 0 06 Oct 2023
The Role of Federated Learning in a Wireless World with Foundation ModelsIEEE wireless communications (IEEE Wireless Commun.), 2023 Zihan Chen Howard H. Yang Y. C. Tay Kai Fong Ernest Chong Tony Q.S. Quek AI4CE 180 18 0 06 Oct 2023
FedNAR: Federated Optimization with Normalized Annealing RegularizationNeural Information Processing Systems (NeurIPS), 2023 Junbo Li Ang Li Chong Tian Qirong Ho Eric Xing Hongyi Wang FedML 87 7 0 04 Oct 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 173 1 0 04 Oct 2023
Heterogeneous Federated Learning Using Knowledge Codistillation Jared Lichtarge Ehsan Amid Shankar Kumar Tien-Ju Yang Rohan Anil Rajiv Mathews FedML 179 0 0 04 Oct 2023
Federated Wasserstein DistanceInternational Conference on Learning Representations (ICLR), 2023 Alain Rakotomamonjy Kimia Nadjahi L. Ralaivola 178 8 0 03 Oct 2023
Fusing Models with Complementary ExpertiseInternational Conference on Learning Representations (ICLR), 2023 Hongyi Wang Felipe Maia Polo Yuekai Sun Souvik Kundu Eric Xing Mikhail Yurochkin FedML MoMe 305 39 0 02 Oct 2023
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things Samiul Alam Tuo Zhang Tiantian Feng Hui Shen Zhichao Cao ... JeongGil Ko Kiran Somasundaram Shrikanth S. Narayanan Salman Avestimehr Mi Zhang 255 12 0 29 Sep 2023
Federated Learning Under Restricted User AvailabilityIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Periklis Theodoropoulos Konstantinos E. Nikolakakis Dionysios S. Kalogerias FedML 89 3 0 25 Sep 2023
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data Hao Sun Li Shen Shi-Yong Chen Jingwei Sun Jing Li Guangzhong Sun Dacheng Tao FedML 143 2 0 18 Sep 2023
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout Pengfei Guo Warren Morningstar Raviteja Vemulapalli K. Singhal Vishal M. Patel Philip Mansfield FedML 155 4 0 11 Sep 2023
Linear Regression using Heterogeneous Data BatchesNeural Information Processing Systems (NeurIPS), 2023 Ayush Jain Rajat Sen Weihao Kong Abhimanyu Das A. Orlitsky 90 3 0 05 Sep 2023
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated LearningInternational Conference on Learning Representations (ICLR), 2023 Yavuz Faruk Bakman D. Yaldiz Yahya H. Ezzeldin A. Avestimehr CLL FedML 308 21 0 03 Sep 2023
Learning Driver Models for Automated Vehicles via Knowledge Sharing and PersonalizationTransportation Research Record (TRR), 2023 Wissam Kontar Xinzhi Zhong Soyoung Ahn 114 0 0 31 Aug 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and ChallengesIEEE Transactions on Intelligent Vehicles (TIV), 2023 Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 303 144 0 21 Aug 2023
Towards Attack-tolerant Federated Learning via Critical Parameter AnalysisIEEE International Conference on Computer Vision (ICCV), 2023 Sungwon Han Sungwon Park Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML 116 16 0 18 Aug 2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning Qinglun Li Li Shen Guang-Ming Li Quanjun Yin Dacheng Tao FedML 88 7 0 16 Aug 2023

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A Field Guide to Federated Optimization

Papers citing "A Field Guide to Federated Optimization"