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Poster
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Wed 14:00
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Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Zexi Li · Tao Lin · Xinyi Shang · Chao Wu
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Workshop
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Fri 13:15
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Li Xiong: Federated Learning with Personalized and User-level Differential Privacy
Li Xiong
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Workshop
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Don’t Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory
Sara Babakniya · Zalan Fabian · Chaoyang He · Mahdi Soltanolkotabi · Salman Avestimehr
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Workshop
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Fri 19:20
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Chuan Guo: Towards (Truly) Private and Communication-efficient Federated Learning
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Workshop
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Federated Ensemble-Directed Offline Reinforcement Learning
Desik Rengarajan · Nitin Ragothaman · Dileep Kalathil · Srinivas Shakkottai
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Workshop
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Fri 12:05
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Vojta Jina: Lessons from Applying Private Federated Learning
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Poster
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Thu 16:30
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LeadFL: Client Self-Defense against Model Poisoning in Federated Learning
Chaoyi Zhu · Stefanie Roos · Lydia Y. Chen
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Workshop
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Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation
Anbang Zhang · Shuaishuai Guo · Shuai Liu
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Poster
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Thu 13:30
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Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
Chuan Guo · Kamalika Chaudhuri · Pierre Stock · Michael Rabbat
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Workshop
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SCAFF-PD: Communication Efficient Fair and Robust Federated Learning
Yaodong Yu · Sai Praneeth Karimireddy · Yi Ma · Michael Jordan
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Poster
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Thu 16:30
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DoCoFL: Downlink Compression for Cross-Device Federated Learning
Ron Dorfman · Shay Vargaftik · Yaniv Ben Itzhak · Kfir Levy
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Poster
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Thu 16:30
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Federated Adversarial Learning: A Framework with Convergence Analysis
Xiaoxiao Li · Zhao Song · Jiaming Yang
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