Dimitriadis, Dimitrios

12 publications

CVPRW 2025 GPT-FL: Generative Pre-Trained Model-Assisted Federated Learning Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr

NeurIPS 2025 Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao, Chen Dun, Mirian Del Carmen Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Dimitrios Dimitriadis, Anastasios Kyrillidis

ECCV 2024 CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr

AISTATS 2024 Invariant Aggregator for Defending Against Federated Backdoor Attacks Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople

ICLRW 2024 MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr

AISTATS 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun, Mirian Hipolito, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis

NeurIPSW 2023 FedJETs: Efficient Just-in-Time Personalization with Federated Mixture of Experts Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis

CHIL 2023 Federated Multilingual Models for Medical Transcript Analysis Andrea Manoel, Mirian del Carmen Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, Dimitrios Dimitriadis

ICCV 2023 Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis

NeurIPSW 2022 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun, Mirian Del Carmen Hipolito Garcia, Christopher Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis

NeurIPSW 2022 FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations Mirian Del Carmen Hipolito Garcia, Andre Manoel, Daniel Diaz Madrigal, Robert Sim, Dimitrios Dimitriadis

IJCAI 2022 Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis