Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Paradigms
Artificial Intelligence
›
Learning Paradigms
›
Federated Learning
1355 directly classified papers
Papers per year
2010: 1
2011: 1
2012: 7
2013: 2
2014: 2
2015: 4
2016: 4
2017: 5
2018: 11
2019: 20
2020: 70
2021: 131
2022: 208
2023: 289
2024: 233
2025: 257
2026: 110
Papers
Multi-Level Branched Regularization for Federated Learning
ICML 2022
Transfer Learning In Differential Privacy’s Hybrid-Model
ICML 2022
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
ICML 2022
Federated Learning with Partial Model Personalization
ICML 2022
Bayesian federated estimation of causal effects from observational data
UAI 2022
SASH: Efficient secure aggregation based on SHPRG for federated learning
UAI 2022
Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters
L4DC 2022
Generalized Federated Learning via Sharpness Aware Minimization
ICML 2022
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
AAAI 2022
CrowdFL: A Marketplace for Crowdsourced Federated Learning
AAAI 2022
FedNL: Making Newton-Type Methods Applicable to Federated Learning
ICML 2022
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning
AAAI 2022
FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates
AAAI 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
ICML 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
ICML 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
ICML 2022
Federated online clustering of bandits
UAI 2022
Fedvarp: Tackling the variance due to partial client participation in federated learning
UAI 2022
Faster non-convex federated learning via global and local momentum
UAI 2022
Privacy-aware compression for federated data analysis
UAI 2022
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning
ACL 2022
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
ICML 2022
ActPerFL: Active Personalized Federated Learning
ACL 2022
Scaling Language Model Size in Cross-Device Federated Learning
ACL 2022
Improving Screening Processes via Calibrated Subset Selection
ICML 2022
<
1
…
42
43
44
…
55
>