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Federated Learning

1355 directly classified papers

Papers per year

Papers

PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients ACML 2021
Heterogeneity for the Win: One-Shot Federated Clustering ICML 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation ICML 2021
Federated Learning with Fair Averaging IJCAI 2021
Personalized Federated Learning using Hypernetworks ICML 2021
Federated Learning of User Verification Models Without Sharing Embeddings ICML 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021
Communication-Aware Collaborative Learning AAAI 2021
Differentially Private and Communication Efficient Collaborative Learning AAAI 2021
FLAME: Differentially Private Federated Learning in the Shuffle Model AAAI 2021
Regularized Mutual Learning for Personalized Federated Learning ACML 2021
Optimal query complexity for private sequential learning against eavesdropping AISTATS 2021
Free-rider Attacks on Model Aggregation in Federated Learning AISTATS 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 2021
Hiding Numerical Vectors in Local Private and Shuffled Messages IJCAI 2021
Federated Multi-armed Bandits with Personalization AISTATS 2021
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee NIPS 2021
Near Optimal Distributed Learning of Halfspaces with Two Parties COLT 2021
MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021
Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021
Federated f-Differential Privacy AISTATS 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021