conftrace_
← Keywords

federated learning

1320 papers

Explore in graph

Also known as

FL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

Federated Multi-Task Learning under a Mixture of Distributions NIPS 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
Federated Linear Contextual Bandits NIPS 2021
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning NIPS 2021
Gradient Inversion with Generative Image Prior NIPS 2021
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning NIPS 2021
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NIPS 2021
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021
BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021
Zero-Shot Federated Learning with New Classes for Audio Classification INTERSPEECH 2021
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021
Differentially Private and Communication Efficient Collaborative Learning AAAI 2021
FedSplit: an algorithmic framework for fast federated optimization NIPS 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NIPS 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NIPS 2020
Assisted Learning: A Framework for Multi-Organization Learning NIPS 2020
Robust Federated Learning: The Case of Affine Distribution Shifts NIPS 2020
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning ICML 2020