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

Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026
Bant: Byzantine Antidote via Trial Function and Trust Scores AAAI 2026
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models AAAI 2026
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis AAAI 2026
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning WACV 2026
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation EACL 2026
SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning AAAI 2026
CoLM: Collaborative Large Models via a Client-Server Paradigm AAAI 2026
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models AAAI 2026
Domain-Aware Suppression and Aggregation for Federated DG ReID AAAI 2026
Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity NAACL 2025
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing AAAI 2025
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation WACV 2025
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 2025
Class-Wise Federated Averaging for Efficient Personalization ICCV 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025
LiD-FL: Towards List-Decodable Federated Learning AAAI 2025
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025
CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025
Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation AAAI 2025