There are five papers from our group that will be presented at the International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22). There will be 3 oral presentations and 2 poster presentations as follows:

• Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi and Salman Avestimehr. "SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision”
  

• Sunwoo Lee, Anit Sahu, Chaoyang He and Salman Avestimehr. "Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits”
  

• Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi and Salman Avestimehr. FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
  

• Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao and Salman Avestimehr. Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
  

• Erum Mushtaq, Chaoyang He, Jie Ding and Salman Avestimehr. SPIDER: Searching Personalized Neural Architecture for Federated Learning