Publications

Year Title Conference / Journal
2025FedDiAL: Adaptive Federated Learning with Hierarchical Discriminative Network for Large Pre-trained ModelsACM KDD
2024Straggler-Resilient Decentralized Learning via Adaptive Asynchronous UpdatesMobiHoc
2024Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning PeriodsRAID
2024FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based AggregationACM KDD
2024DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared RepresentationsAAAI
2023CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated LearningACM KDD
2023DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods AwarenessAAAI
2022Towards Latency Awareness for Content Delivery Network CachingUSENIX ATC
2022Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit ApproachIEEE/ACM TON
2022Seizing Critical Learning Periods in Federated LearningAAAI
2021Learning from Optimal Caching for Content DeliveryACM CoNEXT
2020RL-Bélády: A Unified Learning Framework for Content CachingACM MM

Platforms

Federated Recommendation System

A prototype recommendation system based on federated learning.

Private Secure Aggregation

A secure aggregation service with differential privacy support.

Network Optimizer Suite

High-performance network optimization simulation and visualization tools.