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• CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization
  2022 · 6 citations
• Distributed Learning on Heterogeneous Resource-Constrained Devices
  2020 · 2 citations
• Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices
  2024 · 1 citations
• DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks
  2024 · 1 citations
• Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training
  2026
• GreenFLag: A Green Agentic Approach for Energy-Efficient Federated Learning
  2026
• Collaborative Split Federated Learning with Parallel Training and Aggregation
  2025
• Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
  2025
• DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
  2021
• Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
  2023
• A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks
  2023
• A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks
  2023