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• Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
  2023 · 16 citations
• Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search
  2022 · 6 citations
• SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning
  2021 · 5 citations
• Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
  2022 · 5 citations
• FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
  2024 · 4 citations
• Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient
  2021 · 2 citations
• Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning
  2023 · 1 citations
• SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks
  2026
• FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
  2025
• Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency
  2025
• Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing
  2022
• LEFL: Low Entropy Client Sampling in Federated Learning
  2023