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Federated Learning

497 directly classified papers

Papers per year

Papers

Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization ICML 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy ICML 2022
Neurotoxin: Durable Backdoors in Federated Learning ICML 2022
Generalized Federated Learning via Sharpness Aware Minimization ICML 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams NIPS 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022
On Privacy and Personalization in Cross-Silo Federated Learning NIPS 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NIPS 2022
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning NIPS 2022
Recovering Private Text in Federated Learning of Language Models NIPS 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NIPS 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing NIPS 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NIPS 2022
Tight and Robust Private Mean Estimation with Few Users ICML 2022
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale ICML 2022
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 2021
BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021
Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021
Learning from History for Byzantine Robust Optimization ICML 2021
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021
Local SGD: Unified Theory and New Efficient Methods AISTATS 2021
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021
Addressing Class Imbalance in Federated Learning AAAI 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021