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Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 815 papers shown

Title
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 124 95 0 17 Nov 2021
Differentially Private Federated Learning on Heterogeneous Data Maxence Noble A. Bellet Hadrien Hendrikx FedML 86 110 0 17 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 104 67 0 14 Nov 2021
DP-REC: Private & Communication-Efficient Federated Learning Aleksei Triastcyn M. Reisser Christos Louizos FedML 57 16 0 09 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 109 53 0 09 Nov 2021
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 154 142 0 08 Nov 2021
Federated Learning Based on Dynamic Regularization D. A. E. Acar Yue Zhao Ramon Matas Navarro Matthew Mattina P. Whatmough Venkatesh Saligrama FedML 124 785 0 08 Nov 2021
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective Margalit Glasgow Honglin Yuan Tengyu Ma FedML 85 45 0 05 Nov 2021
Federated Learning with Heterogeneous Differential Privacy Nasser Aldaghri Hessam Mahdavifar Ahmad Beirami FedML 85 2 0 28 Oct 2021
Towards Model Agnostic Federated Learning Using Knowledge Distillation A. Afonin Sai Praneeth Karimireddy FedML 89 45 0 28 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 123 76 0 27 Oct 2021
Boosting Resource-Constrained Federated Learning Systems with Guessed Updates Mohamed Yassine Boukhari Akash Dhasade Anne-Marie Kermarrec Rafael Pires Othmane Safsafi Rishi Sharma FedML 91 0 0 21 Oct 2021
Layer-wise Adaptive Model Aggregation for Scalable Federated Learning Sunwoo Lee Tuo Zhang Chaoyang He Salman Avestimehr FedML 85 51 0 19 Oct 2021
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features Meirui Jiang Xiaoxiao Li Xiaofei Zhang Michael Kamp Qianming Dou FedML OOD 100 0 0 19 Oct 2021
Towards Federated Bayesian Network Structure Learning with Continuous Optimization Ignavier Ng Kun Zhang FedML 91 38 0 18 Oct 2021
FedMe: Federated Learning via Model Exchange Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka FedML 122 20 0 15 Oct 2021
Adaptive Differentially Private Empirical Risk Minimization Xiaoxia Wu Lingxiao Wang Irina Cristali Quanquan Gu Rebecca Willett 158 6 0 14 Oct 2021
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training Hui-Po Wang Sebastian U. Stich Yang He Mario Fritz FedML AI4CE 73 50 0 11 Oct 2021
The Skellam Mechanism for Differentially Private Federated Learning Naman Agarwal Peter Kairouz Ziyu Liu FedML 88 127 0 11 Oct 2021
FRL: Federated Rank Learning Hamid Mozaffari Virat Shejwalkar Amir Houmansadr FedML 130 11 0 08 Oct 2021
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training Lillian Zhou Dhruv Guliani Andreas Kabel Giovanni Motta F. Beaufays 73 1 0 08 Oct 2021
Neural Tangent Kernel Empowered Federated Learning Kai Yue Richeng Jin Ryan Pilgrim Chau-Wai Wong D. Baron H. Dai FedML 73 17 0 07 Oct 2021
Enabling On-Device Training of Speech Recognition Models with Federated Dropout Dhruv Guliani Lillian Zhou Changwan Ryu Tien-Ju Yang Harry Zhang Yong Xiao F. Beaufays Giovanni Motta FedML 58 16 0 07 Oct 2021
Federated Learning from Small Datasets Michael Kamp Jonas Fischer Jilles Vreeken FedML 85 29 0 07 Oct 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Huan Zhang Mi Zhang Xin Liu P. Mohapatra Michael DeLucia FedML 114 18 0 06 Oct 2021
Secure Byzantine-Robust Distributed Learning via Clustering R. K. Velicheti Derek Xia Oluwasanmi Koyejo FedML OOD 137 20 0 06 Oct 2021
Efficient and Private Federated Learning with Partially Trainable Networks Hakim Sidahmed Zheng Xu Ankush Garg Yuan Cao Mingqing Chen FedML 124 13 0 06 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Chaoyang He Zhengyu Yang Erum Mushtaq Sunwoo Lee Mahdi Soltanolkotabi A. Avestimehr FedML 158 37 0 06 Oct 2021
Secure Aggregation for Buffered Asynchronous Federated Learning Jinhyun So Ramy E. Ali Başak Güler A. Avestimehr FedML 75 26 0 05 Oct 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 106 217 0 02 Oct 2021
Layer-wise and Dimension-wise Locally Adaptive Federated Learning Belhal Karimi Ping Li Xiaoyun Li FedML 122 3 0 01 Oct 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 150 181 0 29 Sep 2021
Private Language Model Adaptation for Speech Recognition Zhe Liu Ke Li Shreyan Bakshi Fuchun Peng 98 6 0 28 Sep 2021
Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics Natascha Harth Hans-Jörg Vögel Kostas Kolomvatsos Christos Anagnostopoulos 98 13 0 25 Sep 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 76 32 0 16 Sep 2021
Federated Submodel Optimization for Hot and Cold Data Features Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lv Yanghe Feng Guihai Chen FedML 48 7 0 16 Sep 2021
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting Wei-wei Zhu Jiebo Luo Andrew D. White FedML 76 34 0 15 Sep 2021
Federated Ensemble Model-based Reinforcement Learning in Edge Computing Jin Wang Jia Hu Jed Mills Geyong Min Ming Xia FedML 60 24 0 12 Sep 2021
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 100 77 0 12 Sep 2021
Toward Communication Efficient Adaptive Gradient Method Xiangyi Chen Xiaoyun Li P. Li FedML 80 42 0 10 Sep 2021
Iterated Vector Fields and Conservatism, with Applications to Federated Learning Zachary B. Charles Keith Rush 72 6 0 08 Sep 2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection Shulai Zhang Zirui Li Quan Chen Wenli Zheng Jingwen Leng Minyi Guo FedML 83 35 0 08 Sep 2021
On the Convergence of Decentralized Adaptive Gradient Methods Xiangyi Chen Belhal Karimi Weijie Zhao Ping Li 85 21 0 07 Sep 2021
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning Zhifeng Jiang Wen Wang Yang Liu FedML 96 50 0 02 Sep 2021
Federated Learning: Issues in Medical Application Joo Hun Yoo Hyejun Jeong Jaehyeok Lee Tai M. Chung FedML OOD 60 15 0 01 Sep 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health Guodong Long Tao Shen Yue Tan Leah Gerrard Allison Clarke Jing Jiang FedML 104 46 0 24 Aug 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 142 284 0 23 Aug 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 124 223 0 23 Aug 2021
Anarchic Federated Learning Haibo Yang Xin Zhang Prashant Khanduri Jia Liu FedML 73 59 0 23 Aug 2021
Accelerating Federated Learning with a Global Biased Optimiser Jed Mills Jia Hu Geyong Min Rui Jin Siwei Zheng Jin Wang FedML AI4CE 86 9 0 20 Aug 2021