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Federated Learning

1355 directly classified papers

Papers per year

Papers

Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021
Exploiting Shared Representations for Personalized Federated Learning ICML 2021
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021
Communication-Efficient Agnostic Federated Averaging INTERSPEECH 2021
Understanding Clinical Collaborations Through Federated Classifier Selection MLHC 2021
Federated stochastic gradient Langevin dynamics UAI 2021
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation ICCV 2021
Zero-Shot Federated Learning with New Classes for Audio Classification INTERSPEECH 2021
Defending against Backdoors in Federated Learning with Robust Learning Rate AAAI 2021
Federated Multi-Armed Bandits AAAI 2021
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models AAAI 2021
Toward Understanding the Influence of Individual Clients in Federated Learning AAAI 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating AAAI 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning AAAI 2021
Ditto: Fair and Robust Federated Learning Through Personalization ICML 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021
Personalized Cross-Silo Federated Learning on Non-IID Data AAAI 2021
Accumulative Poisoning Attacks on Real-time Data NIPS 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability NIPS 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NIPS 2021
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NIPS 2021