conftrace_

model aggregation

156 papers

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Co-occurring keywords

federated learning (1333) non-iid datum (109) distributed learning (563) data heterogeneity (115) privacy preservation (380) knowledge distillation (3725) personalized model (89) client heterogeneity (44) personalized federated learning (50) domain adaptation (4595)

Papers

Architecture Agnostic Federated Learning for Neural Networks ICML 2022
Federated Learning with Positive and Unlabeled Data ICML 2022
Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning CVPR 2022
Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022
FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022
SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task NAACL 2022
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NIPS 2021
cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora ACL 2021
BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021
Collaborative Unsupervised Visual Representation Learning From Decentralized Data ICCV 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021
Free-rider Attacks on Model Aggregation in Federated Learning AISTATS 2021
Towards Flexible Device Participation in Federated Learning AISTATS 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NIPS 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning ICML 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification AAAI 2021
Transductive Ensemble Learning for Neural Machine Translation AAAI 2020
An Efficient Framework for Clustered Federated Learning NIPS 2020
Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills ACL 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization NIPS 2020
Statistical Model Aggregation via Parameter Matching NIPS 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets AAAI 2019
Multi-Agent Visualization for Explaining Federated Learning IJCAI 2019