← Learning Paradigms
Machine Learning › Learning Paradigms ›

Federated Learning

551 directly classified papers

Papers per year

Papers

One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021
Local SGD: Unified Theory and New Efficient Methods AISTATS 2021
Towards Flexible Device Participation in Federated Learning AISTATS 2021
Federated f-Differential Privacy AISTATS 2021
On Data Efficiency of Meta-learning AISTATS 2021
Linear Regression over Networks with Communication Guarantees L4DC 2021
Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning L4DC 2021
Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021
Distantly Supervised Relation Extraction in Federated Settings EMNLP 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021
Federated Multi-Task Learning under a Mixture of Distributions NIPS 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021
Boosting with Multiple Sources NIPS 2021
Distributed Machine Learning with Sparse Heterogeneous Data NIPS 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NIPS 2021
On Large-Cohort Training for Federated Learning NIPS 2021
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization NIPS 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NIPS 2021
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification AAAI 2021
Personalized Cross-Silo Federated Learning on Non-IID Data AAAI 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning AAAI 2021
MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021
Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021