Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 792 papers shown

Title
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 30 43 0 27 Jan 2022
Server-Side Stepsizes and Sampling Without Replacement Provably Help in Federated Optimization Grigory Malinovsky Konstantin Mishchenko Peter Richtárik FedML 19 24 0 26 Jan 2022
Fast Server Learning Rate Tuning for Coded Federated Dropout Giacomo Verardo Daniela F. Barreira Marco Chiesa Dejan Kostić Gerald Q. Maguire Jr FedML 32 1 0 26 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 58 14 0 26 Jan 2022
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data Isha Garg M. Nagaraj Kaushik Roy FedML 31 1 0 21 Jan 2022
Communication-Efficient Federated Learning with Accelerated Client Gradient Geeho Kim Jinkyu Kim Bohyung Han FedML 40 11 0 10 Jan 2022
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory Nicole Mitchell Johannes Ballé Zachary B. Charles Jakub Konecný FedML 19 21 0 07 Jan 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 24 7 0 06 Jan 2022
SPIDER: Searching Personalized Neural Architecture for Federated Learning Erum Mushtaq Chaoyang He Jie Ding A. Avestimehr FedML 24 20 0 27 Dec 2021
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 22 30 0 25 Dec 2021
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation Xingyu Li Zhe Qu Bo Tang Zhuo Lu FedML 33 25 0 22 Dec 2021
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images Meirui Jiang Zirui Wang Qi Dou FedML 33 123 0 20 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 31 9 0 19 Dec 2021
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better Sameer Bibikar H. Vikalo Zhangyang Wang Xiaohan Chen FedML 35 96 0 18 Dec 2021
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization Feijie Wu Song Guo Yining Qi Zhihao Qu Haobo Zhang Jiewei Zhang Ziming Liu 25 11 0 17 Dec 2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig AI4CE 37 25 0 15 Dec 2021
Analysis and Evaluation of Synchronous and Asynchronous FLchain F. Wilhelmi L. Giupponi Paolo Dini 23 5 0 15 Dec 2021
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization Huiming Chen Huandong Wang Quanming Yao Yong Li Depeng Jin Qiang Yang FedML 24 4 0 15 Dec 2021
Efficient and Reliable Overlay Networks for Decentralized Federated Learning Yifan Hua Kevin Miller Andrea L. Bertozzi Chao Qian Bao Wang OOD FedML 39 20 0 12 Dec 2021
Collaborative Learning over Wireless Networks: An Introductory Overview Emre Ozfatura Deniz Gunduz H. Vincent Poor 30 11 0 07 Dec 2021
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning Shuo Wan Jiaxun Lu Pingyi Fan Yunfeng Shao Chenghui Peng Khaled B. Letaief FedML 24 14 0 02 Dec 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 45 20 0 29 Nov 2021
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning Elnur Gasanov Ahmed Khaled Samuel Horváth Peter Richtárik FedML 30 16 0 22 Nov 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen Xiaowen Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 37 68 0 22 Nov 2021
An Expectation-Maximization Perspective on Federated Learning Christos Louizos M. Reisser Joseph B. Soriaga Max Welling FedML 33 11 0 19 Nov 2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps Xiaopeng Jiang Han Hu Vijaya Datta Mayyuri An M. Chen D. Shila Adriaan Larmuseau Ruoming Jin Cristian Borcea Nhathai Phan FedML 20 11 0 17 Nov 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 32 87 0 17 Nov 2021
Differentially Private Federated Learning on Heterogeneous Data Maxence Noble A. Bellet Aymeric Dieuleveut FedML 13 102 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 22 62 0 14 Nov 2021
DP-REC: Private & Communication-Efficient Federated Learning Aleksei Triastcyn M. Reisser Christos Louizos FedML 24 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 ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 41 50 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 113 137 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 27 750 0 08 Nov 2021
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective Margalit Glasgow Honglin Yuan Tengyu Ma FedML 27 43 0 05 Nov 2021
Federated Learning with Heterogeneous Differential Privacy Nasser Aldaghri Hessam Mahdavifar Ahmad Beirami FedML 35 2 0 28 Oct 2021
Towards Model Agnostic Federated Learning Using Knowledge Distillation A. Afonin Sai Praneeth Karimireddy FedML 30 45 0 28 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 2021
Boosting Federated Learning in Resource-Constrained Networks Mohamed Yassine Boukhari Akash Dhasade Anne-Marie Kermarrec Rafael Pires Othmane Safsafi Rishi Sharma FedML 12 0 0 21 Oct 2021
Layer-wise Adaptive Model Aggregation for Scalable Federated Learning Sunwoo Lee Tuo Zhang Chaoyang He Salman Avestimehr FedML 6 48 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 34 0 0 19 Oct 2021
Towards Federated Bayesian Network Structure Learning with Continuous Optimization Ignavier Ng Kun Zhang FedML 47 38 0 18 Oct 2021
FedMe: Federated Learning via Model Exchange Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka FedML 45 19 0 15 Oct 2021
Adaptive Differentially Private Empirical Risk Minimization Xiaoxia Wu Lingxiao Wang Irina Cristali Quanquan Gu Rebecca Willett 38 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 36 46 0 11 Oct 2021
The Skellam Mechanism for Differentially Private Federated Learning Naman Agarwal Peter Kairouz Ziyu Liu FedML 22 122 0 11 Oct 2021
FRL: Federated Rank Learning Hamid Mozaffari Virat Shejwalkar Amir Houmansadr FedML 29 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 26 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 22 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 33 16 0 07 Oct 2021
Federated Learning from Small Datasets Michael Kamp Jonas Fischer Jilles Vreeken FedML 32 26 0 07 Oct 2021