Federated Optimization:Distributed Optimization Beyond the Datacenter

11 November 2015

Papers citing "Federated Optimization:Distributed Optimization Beyond the Datacenter"

50 / 305 papers shown

Title
When Shift Happens - Confounding Is to Blame Abbavaram Gowtham Reddy Celia Rubio-Madrigal R. Burkholz Krikamol Muandet OOD 51 0 0 27 May 2025
EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks Abir Ray 22 0 0 24 May 2025
Adversarial Robustness of Nonparametric Regression Parsa Moradi Hanzaleh Akabrinodehi M. Maddah-ali AAML 68 0 0 23 May 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence Edward Collins Michel Wang FedML 75 0 0 24 Apr 2025
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks Jingxuan Zhou Weidong Bao Ji Wang Dayu Zhang Xiongtao Zhang Yaohong Zhang FedML 105 1 0 14 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 148 1 0 02 Apr 2025
Distributionally Robust Federated Learning: An ADMM Algorithm Wen Bai Yi Wong Xiao Qiao Chin Pang Ho FedML OOD 101 0 0 24 Mar 2025
Trading-off Accuracy and Communication Cost in Federated Learning Mattia Jacopo Villani Emanuele Natale Frederik Mallmann-Trenn FedML 117 0 0 18 Mar 2025
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection Long Tan Le Tung Nguyen Han Shu Suranga Seneviratne Choong Seon Hong Nguyen Tran 101 0 0 14 Mar 2025
Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Shuai Wang Yanqing Xu Chaoqun You Mingjie Shao Tony Q.S. Quek 36 0 0 20 Jan 2025
FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy Rishit Kapoor Jesher Joshua Muralidharan Vijayarangan Natarajan B FedML OOD 146 0 0 15 Nov 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection Charuka Herath Xiaolan Liu S. Lambotharan Y. Rahulamathavan FedML 52 2 0 23 Oct 2024
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars Peilin He Chenkai Lin Isabella Montoya 49 0 0 17 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma Chao Pan Rasoul Etesami Han Zhao Olgica Milenković FedML AAML 72 0 0 16 Oct 2024
FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning Minxue Tang Yitu Wang Jingyang Zhang Louis DiValentin Aolin Ding Amin Hass Yiran Chen Hai "Helen" Li FedML AAML 57 0 0 12 Sep 2024
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning Jiaxang Tang Zeshan Fayyaz M. A. Salahuddin R. Boutaba Zhi-Li Zhang Ali Anwar FedML 67 0 0 11 Sep 2024
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix Yang Jin Sihun Baek Lei Zhang Hyelin Nam Praneeth Vepakomma Ramesh Raskar Mehdi Bennis Seong-Lyun Kim 62 3 0 02 Aug 2024
Federated PCA on Grassmann Manifold for IoT Anomaly Detection Tung-Anh Nguyen Long Tan Le Tuan Dung Nguyen Wei Bao Suranga Seneviratne Choong Seon Hong N. H. Tran 62 11 0 10 Jul 2024
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory Jiajun Liang Qian Zhang Wei Deng Qifan Song Guang Lin 53 1 0 09 Jul 2024
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning Alexander Herzog Robbie Southam Ioannis Mavromatis Aftab Khan 56 0 0 27 Jun 2024
FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization Linping Qu Shenghui Song Chi-Ying Tsui MQ FedML 53 4 0 26 Jun 2024
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Yuan Yao Gongxi Zhu Bowen Li Jie Li Lixin Fan Qiang Yang 83 1 0 03 Jun 2024
Sheaf HyperNetworks for Personalized Federated Learning B. Nguyen Lorenzo Sani Xinchi Qiu Pietro Lio Nicholas D. Lane 83 1 0 31 May 2024
Optimally Improving Cooperative Learning in a Social Setting Shahrzad Haddadan Cheng Xin Jie Gao 63 0 0 31 May 2024
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning Aditya Shankar Lydia Y. Chen Jérémie Decouchant Dimitra Gkorou Rihan Hai FedML 155 1 0 31 May 2024
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing Xianke Qiang Zheng Chang Yun Hu Lei Liu Timo Hämäläinen 65 2 0 29 May 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method Hanlin Gu Gongxi Zhu Jie Zhang Xinyuan Zhao Yuxing Han Lixin Fan Qiang Yang MU 125 9 0 24 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 113 8 0 23 May 2024
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy Yichuan Shi Olivera Kotevska Viktor Reshniak Abhishek Singh Ramesh Raskar AAML 79 1 0 16 May 2024
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays Charikleia Iakovidou Kibaek Kim FedML 76 3 0 16 May 2024
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model Guibo Luo Hanwen Zhang Xiuling Wang Mingzhi Chen Yuesheng Zhu DiffM 67 1 0 12 Mar 2024
Consensus learning: A novel decentralised ensemble learning paradigm Horia Magureanu Nairi Usher 108 1 0 25 Feb 2024
Dependable Distributed Training of Compressed Machine Learning Models F. Malandrino G. Giacomo Marco Levorato C. Chiasserini 89 0 0 22 Feb 2024
Stochastic Approximation Approach to Federated Machine Learning P. V. Srihari B. Bhikkaji FedML 71 0 0 20 Feb 2024
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study Yuwen Yang Yuxiang Lu Suizhi Huang Shalayiding Sirejiding Hongtao Lu Yue Ding FedML 88 5 0 20 Feb 2024
Wireless Distributed Matrix-Vector Multiplication using Over-the-Air Computation and Analog Coding Jinho Choi 60 1 0 17 Feb 2024
FLASH: Federated Learning Across Simultaneous Heterogeneities Xiangyu Chang Sk. Miraj Ahmed S. Krishnamurthy Başak Güler A. Swami Samet Oymak Amit K. Roy-Chowdhury FedML 72 3 0 13 Feb 2024
Queuing dynamics of asynchronous Federated Learning Louis Leconte Matthieu Jonckheere S. Samsonov Eric Moulines FedML 82 6 0 12 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning Mohammed Aljahdali A. Abdelmoniem Marco Canini Samuel Horváth 98 3 0 08 Feb 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 129 3 0 16 Jan 2024
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning Jianwei Li Sheng Liu Qi Lei PILM SILM AAML 68 4 0 10 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 80 8 0 07 Dec 2023
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems Tamir L. S. Gez Kobi Cohen 55 3 0 06 Dec 2023
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu Junyuan Hong Yi Zeng Fei Wang Ruoxi Jia Jiayu Zhou FedML 81 11 0 06 Dec 2023
Resource-constrained knowledge diffusion processes inspired by human peer learning Ehsan Beikihassan Amy K. Hoover Ioannis Koutis Alipanah Parviz Niloofar Aghaieabiane 80 0 0 01 Dec 2023
Brain MRI Screening Tool with Federated Learning R. Stoklasa Ioannis Stathopoulos E. Karavasilis Efstathios Efstathopoulos Marek Dostál M. Keřkovský Michal Kozubek Luigi Serio 32 2 0 23 Nov 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 109 4 0 22 Nov 2023
Near-optimal Differentially Private Client Selection in Federated Settings Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 65 3 0 13 Oct 2023
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping Martin Pelikan Sheikh Shams Azam Vitaly Feldman Jan Honza Silovsky Kunal Talwar Christopher G. Brinton Tatiana Likhomanenko 99 8 0 29 Sep 2023
Collaborative Distributed Machine Learning Sumit Kumar Jha Patrick Lincoln Sascha Rank Ali Sunyaev 70 1 0 28 Sep 2023